Aussie AI

AGI

  • Last Updated 17 November, 2025
  • by David Spuler, Ph.D.

Research on AGI

  • Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You, 16 May 2024, How Far Are We From AGI, https://arxiv.org/abs/2405.10313
  • Nathan Lambert, APR 18, 2024, Llama 3: Scaling open LLMs to AGI, https://www.interconnects.ai/p/llama-3-and-scaling-open-llms
  • jbetke, June 3, 2024, General Intelligence (2024), https://nonint.com/2024/06/03/general-intelligence-2024/
  • Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni, Nov 2023, Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models, https://arxiv.org/abs/2311.00871
  • Denise Holt, Jan 29, 2024, “Deep Learning is Rubbish” — Karl Friston & Yann LeCun Face Off at Davos 2024 World Economic Forum, 𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨, https://medium.com/aimonks/deep-learning-is-rubbish-karl-friston-yann-lecun-face-off-at-davos-2024-world-economic-forum-494e82089d22
  • Hayden Field, June 20, 2024, OpenAI competitor Anthropic announces its most powerful AI yet, CNBC, https://www.cnbc.com/2024/06/20/anthropic-claude-3point5-sonnet-ai-announced.html
  • Arjun Kharpal, June 21, 2024, SoftBank CEO says AI that is 10,000 times smarter than humans will come out in 10 years, CNBC, https://www.cnbc.com/2024/06/21/softbank-ceo-predicts-ai-that-is-10000-times-smarter-than-humans-.html
  • Rahul Verma, June 21, 2024, OpenAI's GPT-5 Pushed Back To Late 2025, But Promises Ph.D.-Level Abilities, https://in.mashable.com/tech/77593/openais-gpt-5-pushed-back-to-late-2025-but-promises-phd-level-abilities
  • Ignacio de Gregorio, June 2024, Mixture-of-Agents Beats ChatGPT-4o: Collaboration is Intelligence, https://medium.com/@ignacio.de.gregorio.noblejas/mixture-of-agents-beats-chatgpt-4o-6470a74f1525
  • Rachel Metz, July 12, 2024, OpenAI Scale Ranks Progress Toward ‘Human-Level’ Problem Solving: The company believes its technology is approaching the second level of five on the path to artificial general intelligence, Bloomberg, https://www.bloomberg.com/news/articles/2024-07-11/openai-sets-levels-to-track-progress-toward-superintelligent-ai?sref=P6Q0mxvj
  • Anna Tong and Katie Paul July 16, 2024, Exclusive: OpenAI working on new reasoning technology under code name ‘Strawberry’, https://www.reuters.com/technology/artificial-intelligence/openai-working-new-reasoning-technology-under-code-name-strawberry-2024-07-12/
  • Ethan Mollick, May 12, 2024, Superhuman? What does it mean for AI to be better than a human? And how can we tell? https://www.oneusefulthing.org/p/superhuman
  • Zarif Bin Akhtar, Mapping Generative Artificial Intelligence (GAI's) Exciting Future: From Gemini to Q* and Beyond, https://publications.eai.eu/index.php/airo/article/view/5962 https://doi.org/10.4108/airo.5962 PDF: https://publications.eai.eu/index.php/airo/article/view/5962/3329
  • Jack Dymond, August 2024, Progressive Intelligence for Low-Power Devices, Ph.D. Thesis, Faculty of Engineering and Physical Sciences, School of Electronics and Computer Science, University of Southampton, https://eprints.soton.ac.uk/492900/1/JackDymond-Final-Thesis.pdf
  • Rohin Shah, Seb Farquhar, Anca Dragan, 21st Aug 2024, AGI Safety and Alignment at Google DeepMind: A Summary of Recent Work, https://www.alignmentforum.org/posts/79BPxvSsjzBkiSyTq/agi-safety-and-alignment-at-google-deepmind-a-summary-of
  • Roy Lo, June 13, 2024, Defining AI 2.0: Beyond Generative AI, https://www.linkedin.com/pulse/defining-ai-20-beyond-generative-roy-lo-tbvie/
  • Ryan McNeal, Aug 27, 2024, ChatGPT and GPT-4 could get a sweet upgrade this fall with 'strawberry', https://www.androidauthority.com/openai-strawberry-ai-3475682/
  • Vishal Rajput, Jul 8, 2024, Why LLMs Can’t Plan And Unlikely To Reach AGI? https://medium.com/aiguys/why-llms-cant-plan-and-unlikely-to-reach-agi-642bda3e0aa3
  • Lareina Yee, June 7, 2024, Gen AI: A cognitive industrial revolution, https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/gen-ai-a-cognitive-industrial-revolution
  • Martin_Casado, Aug 31, 2024, Tweet (State of LLMs) https://threadreaderapp.com/thread/1829905130512400775.html
  • Gian Segato, September 2024, The dawn of a new startup era, https://giansegato.com/essays/dawn-new-startup-era
  • Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla, Mar 12, 2024, Algorithmic Progress in Language Models, Epoch AI, https://epochai.org/blog/algorithmic-progress-in-language-models
  • Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla, 9 Mar 2024, Algorithmic progress in language models, https://arxiv.org/abs/2403.05812
  • Alberto Romero. Sep 10, 2024, Big News: OpenAI to Launch AI Model That Can Reason in 2 Weeks, https://www.thealgorithmicbridge.com/p/big-news-openai-to-launch-ai-model
  • David Gilmore, Sep 2024, When will AI outthink humans? https://davidvgilmore.com/writings/outthinking-ai (Interesting analysis of all the GPUs in the world and when they will "out-think" all the human knowledge workers, predicting a range of years from 2028 to 2035, depending on assumptions.)
  • Chloe Berger, October 2, 2024, Mark Cuban says his puppy is ‘smarter than AI is today’, https://fortune.com/2024/10/01/mark-cuban-dog-puppy-smarter-than-ai/
  • Julia Love and Rachel Metz, October 2, 2024, Google Is Working on Reasoning AI, Chasing OpenAI’s Efforts, https://www.bloomberg.com/news/articles/2024-10-02/google-is-working-on-reasoning-ai-chasing-openai-s-efforts
  • Samantha Kelly, Sept. 29, 2024, 'Superintelligent' AI Is Only a Few Thousand Days Away: OpenAI CEO Sam Altman, https://www.cnet.com/tech/services-and-software/superintelligent-ai-is-only-a-few-thousand-days-away-openai-ceo-sam-altman/
  • Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu, 27 Sep 2024, Evaluation of OpenAI o1: Opportunities and Challenges of AGI, https://arxiv.org/abs/2409.18486
  • https://www.cio.com/article/3567138/ai-native-software-engineering-may-be-closer-than-developers-think.html
  • Ignacio de Gregorio Noblejas, October 20, 2024, The Anti-LLM Revolution Begins,https://thetechoasis.beehiiv.com/p/the-anti-llm-revolution-begins
  • Aki Ranin, Sep 2, 2024, The Code Canaries Are Singing — Our Path Toward AGI: How the fate of human software developers reveals our path toward AGI, https://akiranin.medium.com/the-code-canaries-are-singing-our-path-toward-agi-6c234cae0189
  • Will Lockett Nov 2024, Apple Calls BS On The AI Revolution, They aren’t late to the AI game; they are just the only sceptical big tech company. https://medium.com/predict/apple-calls-bullshit-on-the-ai-revolution-ae38fdf83392
  • Anthony Ha, Nov 2024, OpenAI reportedly developing new strategies to deal with AI improvement slowdown, https://techcrunch.com/2024/11/09/openai-reportedly-developing-new-strategies-to-deal-with-ai-improvement-slowdown/
  • Michael Nuñez, November 11, 2024, AI’s math problem: FrontierMath benchmark shows how far technology still has to go, https://venturebeat.com/ai/ais-math-problem-frontiermath-benchmark-shows-how-far-technology-still-has-to-go/
  • Kyle Orland, 13 Nov 2024, What if AI doesn’t just keep getting better forever? New reports highlight fears of diminishing returns for traditional LLM training. https://arstechnica.com/ai/2024/11/what-if-ai-doesnt-just-keep-getting-better-forever/
  • Gary Marcus, Nov 25, 2024, A new AI scaling law shell game? Scaling laws ain’t what they used to be, https://garymarcus.substack.com/p/a-new-ai-scaling-law-shell-game
  • Brian Merchant, Dec 2024, AI Generated Business: The Rise of AGI and the Rush to Find a Working Business Model, https://ainowinstitute.org/general/ai-generated-business
  • David Luan, Pieter Abbeel, December 09, 2024, Amazon opens new AI lab in San Francisco focused on long-term research bets. The Amazon AGI SF Lab will focus on developing new foundational capabilities for enabling useful AI agents. https://www.amazon.science/blog/amazon-opens-new-ai-lab-in-san-francisco-focused-on-long-term-research-bets
  • Deirdre Bosa, Jasmine Wu, Dec 11 2024, The limits of intelligence — Why AI advancement could be slowing down, https://www.cnbc.com/2024/12/11/why-ai-advancement-could-be-slowing-down.html
  • Alberto Romero, Dec 21, 2024, OpenAI o3 Model Is a Message From the Future: Update All You Think You Know About AI. Incredible, a miracle, more than just a better state-of-the-art AI model. https://www.thealgorithmicbridge.com/p/openai-o3-model-is-a-message-from
  • Sabrina Ortiz, Dec. 20, 2024, OpenAI unveils its most advanced o3 reasoning model on its last day of 'shipmas', https://www.zdnet.com/article/openai-unveils-its-most-advanced-o3-reasoning-model-on-its-last-day-of-shipmas/
  • Akash Bajwa, Jan 06, 2025, Test-Time Search: A Path To AGI: Stacking Scaling Laws And Reward Engineering, https://akashbajwa.substack.com/p/test-time-search-a-path-to-agi
  • Duncan Anderson, Jan 2025, The wall that wasn’t: Benchmark results for the latest AI models suggest that any “scaling wall” has already been breached and we’re on the path to AGI. https://medium.com/barnacle-labs/the-wall-that-wasnt-62c617f66ad4
  • Alhassan Mumuni, Fuseini Mumuni, 6 Jan 2025, Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches, https://arxiv.org/abs/2501.03151
  • Jeffrey Anthony, Jan 2025, No GPT-5 in 2025 and No AGI — Ever. The Triadic Nature of Meaning-Making and the Fallacy of AI’s Understanding. https://medium.com/@WeWillNotBeFlattened/no-gpt-5-in-2025-and-no-agi-ever-aa9384efdbe5
  • Ndea, Jan 16, 2025, Ndea is building frontier AI systems that blend intuitive pattern recognition and formal reasoning into a unified architecture., https://ndea.com/
  • Akash Bajwa Jan 27, 2025, The Post-R1 World: AI Economics Have Irreversibly Changed, https://akashbajwa.substack.com/p/the-post-r1-world
  • Mohit Sewak, Ph.D., January 29, 2025, Achieving General Intelligence (AGI) and Super Intelligence (ASI): Pathways, Uncertainties, and Ethical Concerns, https://towardsai.net/p/l/achieving-general-intelligence-agi-and-super-intelligence-asi-pathways-uncertainties-and-ethical-concerns
  • Alberto Romero, Feb 06, 2025, AGI Is Already Here—It’s Just Not Evenly Distributed: Or: why you should learn to prompt AI models, https://open.substack.com/pub/thealgorithmicbridge/p/agi-is-already-hereits-just-not-evenly
  • Arjun Kharpal, Feb 6 2025, ‘Dangerous proposition’: Top scientists warn of out-of-control AI, https://www.cnbc.com/2025/02/07/dangerous-proposition-top-scientists-warn-of-out-of-control-ai.html
  • Nikhil Anand, Feb 2025, Why I think DeepSeek-R1 just revealed the path to AGI. Here’s a visual explanation of exactly what makes DeepSeek-R1 so good. https://ai.gopubby.com/why-i-think-deepseek-r1-just-revealed-the-path-to-agi-d0add267197d
  • Sam Altman, Feb 10, 2025, Three Observations, https://blog.samaltman.com/three-observations (Talks about scaling laws, inference costs reducing, and AGI. One of them: "The cost to use a given level of AI falls about 10x every 12 months, and lower prices lead to much more use. ")
  • Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville, 19 May 2025 (v2), Lost in Transmission: When and Why LLMs Fail to Reason Globally, https://arxiv.org/abs/2505.08140
  • Apoorv Agrawal, May 23, 2025, Why Cars Drive Themselves Before Computers Do: Robocars are ready; robot secretaries aren’t… yet, https://apoorv03.com/p/autonomy
  • Parshin Shojaee, Maxwell Horton, Iman Mirzadeh, Samy Bengio, Keivan Alizadeh, June 2025, The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity, Apple, https://machinelearning.apple.com/research/illusion-of-thinking https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf
  • Dr. Ashish Bamania, June 2025, Apple’s New Research Shows That LLM Reasoning Is Completely Broken: A deep dive into Apple research that exposes the flawed thinking process in state-of-the-art Reasoning LLMs, https://ai.gopubby.com/apples-new-research-shows-that-llm-reasoning-is-completely-broken-47b5be71a06a
  • François Chollet, 25 Nov 2019 (v2), On the Measure of Intelligence, https://arxiv.org/abs/1911.01547
  • Kenneth Payne, Baptiste Alloui-Cros, 3 Jul 2025, Strategic Intelligence in Large Language Models: Evidence from evolutionary Game Theory, https://arxiv.org/abs/2507.02618
  • David De Cremer and Garry Kasparov, March 18, 2021, AI Should Augment Human Intelligence, Not Replace It https://hbr.org/2021/03/ai-should-augment-human-intelligence-not-replace-it
  • Eli Amdur, Nov 25, 2023, Jobs AI Just Can't Do, Forbes https://www.forbes.com/sites/eliamdur/2023/11/25/jobs-ai-just-cant-do/
  • Maryville University Online. June 6, 2024 Artificial Intelligence vs. Human Intelligence, https://online.maryville.edu/blog/ai-vs-human-intelligence/
  • Human- versus Artificial Intelligence - PMC - PubMed Central https://pmc.ncbi.nlm.nih.gov/articles/PMC8108480/ PDF: https://pmc.ncbi.nlm.nih.gov/articles/PMC8108480/pdf/frai-04-622364.pdf (Good article on the nature of intelligence.)
  • AI Won't Replace Humans – Here's The Surprising Reason Why https://www.forbes.com/sites/bernardmarr/2024/11/28/ai-wont-replace-humans--heres-the-surprising-reason-why/
  • Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504. https://doi.org/10.1080/10447318.2020.1741118 https://www.tandfonline.com/doi/full/10.1080/10447318.2020.1741118
  • Joe McKendrick, July 23, 2025, Will AI think like humans? We're not even close - and we're asking the wrong question, https://www.zdnet.com/article/will-ai-think-like-humans-were-not-even-close-and-were-asking-the-wrong-question/
  • Webb Wright, July 1, 2025, Meta's new AI lab aims to deliver 'personal superintelligence for everyone' - whatever that means, https://www.zdnet.com/article/metas-new-ai-lab-aims-to-deliver-personal-superintelligence-for-everyone-whatever-that-means/
  • Lester Mapp, June 17, 2025 , Apple's 'The Illusion of Thinking' is shocking - but here's what it missed, https://www.zdnet.com/article/apples-the-illusion-of-thinking-is-shocking-but-heres-what-it-missed/
  • Sabrina Ortiz, June 17, 2025, What Apple's controversial research paper really tells us about LLMs, https://www.zdnet.com/article/what-apples-controversial-research-paper-really-tells-us-about-llms/
  • Zvi, 11th Jun 2025, Give Me a Reason(ing Model), https://www.lesswrong.com/posts/tnc7YZdfGXbhoxkwj/give-me-a-reason-ing-model
  • Peter Wildeford, Aug 08, 2025, GPT-5: a small step for intelligence, a giant leap for normal people: GPT-5 focuses on where the money is - everyday users, not AI elites, https://peterwildeford.substack.com/p/gpt-5-a-small-step-for-intelligence
  • Kenneth Wolters, Aug 12, 2025, No AGI in Sight: What This Means for LLMs, https://kennethwolters.com/posts/no-agi/
  • Mark Zilberman, 13 Aug 2025, Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence, https://arxiv.org/abs/2508.10241
  • Yi Dong, Yusuke Muraoka, Scott Shi, and Yi Zhang, 14 Aug 2025, MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable Provenance, https://arxiv.org/abs/2508.10429
  • Silvia Garc\'ia-M\'endez, Francisco de Arriba-P\'erez, 8 Aug 2025, Detecting and explaining postpartum depression in real-time with generative artificial intelligence, https://arxiv.org/abs/2508.10025
  • Yuksel Aydin, 9 Aug 2025, Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7, https://arxiv.org/abs/2508.10033
  • Nitin Rai, Nathan S. Boyd, Gary E. Vallad, Arnold W. Schumann, 13 Aug 2025, Improving watermelon (Citrullus lanatus) disease classification with generative artificial intelligence (GenAI)-based synthetic and real-field images via a custom EfficientNetV2-L model, https://arxiv.org/abs/2508.10156
  • Amine Tellache, Abdelaziz Amara Korba, Amdjed Mokhtari, Horea Moldovan, Yacine Ghamri-Doudane, 14 Aug 2025, Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence, https://arxiv.org/abs/2508.10677
  • Kei-Sing Ng, 13 Aug 2025, On the Definition of Intelligence, https://arxiv.org/abs/2507.22423
  • Ilias Chatzistefanidis, Navid Nikaein, 23 Jul 2025, Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks, https://arxiv.org/abs/2507.17695
  • C.H.E. Jordaan, M. van der Stelt, T.J.J. Maal, V.M.A. Stirler, R. Leijendekkers, T. Kachman, G.A. de Jong, 30 Apr 2025, Evaluating Artificial Intelligence Algorithms for the Standardization of Transtibial Prosthetic Socket Shape Design, https://arxiv.org/abs/2507.16818
  • Guang Gao, Jianan Wang, Jinbo Zuo, Junnan Jiang, Jingfan Zhang, Xianwen Zeng, Yuejiang Zhu, Lianyang Ma, Ke Chen, Minhua Sheng, Ruirui Zhang, Zhaohui An, 23 Jul 2025, Towards Human-level Intelligence via Human-like Whole-Body Manipulation, https://arxiv.org/abs/2507.17141
  • Georgios Mappouras, 23 Jul 2025, Turing Test 2.0: The General Intelligence Threshold, https://arxiv.org/abs/2505.19550
  • Obumneme Zimuzor Nwafor and Mohammed Abdul Majeed Al Hooti, 23 Jul 2025, Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman, https://arxiv.org/abs/2507.14219
  • Yanjun Zheng, Xiyang Du, Longfei Liao, Xiaoke Zhao, Zhaowen Zhou, Bo Zhang, Jiawei Liu, Xiang Qi, Zhe Li, Zhiqiang Zhang, Wei Wang and Peng Zhang, 23 Jul 2025, Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning, https://arxiv.org/abs/2507.16802
  • Shai Shalev-Shwartz and Amnon Shashua, 13 Jul 2025, From Reasoning to Super-Intelligence: A Search-Theoretic Perspective, https://arxiv.org/abs/2507.15865
  • Simon Ouellette, 17 Jul 2025, Out-of-Distribution Generalization in the ARC-AGI Domain: Comparing Execution-Guided Neural Program Synthesis and Test-Time Fine-Tuning, https://arxiv.org/abs/2507.15877
  • Andy E. Williams, 18 Jul 2025, The Recursive Coherence Principle: A Formal Constraint on Scalable Intelligence, Alignment, and Reasoning Architecture, https://arxiv.org/abs/2507.15880
  • Li-Hsiang Shen, Jyun-Jhe Huang, 22 Jul 2025, CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks, https://arxiv.org/abs/2507.16204
  • Xin-De Wang, Zhi-Rui Chen, Peng-Jie Guo, Ze-Feng Gao, Cheng Mu, Zhong-Yi Lu, 22 Jul 2025, Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design, https://arxiv.org/abs/2507.16307
  • Christian D. Blakely, 22 Jul 2025, Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines, https://arxiv.org/abs/2507.16537
  • Zixu Wang, Yuhan Wang, Junfei Ma, Fuyuan Wu, Junchi Yan, Xiaohui Yuan, Zhe Zhang, Jie Zhang, 22 Jul 2025, Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence, https://arxiv.org/abs/2507.16227
  • S.-Y. Zhang, J. Tian, S.-L. Liu, H.-M. Zhang, H.-Y. Bai, Y.-C. Hu, W.-H. Wang, 22 Jul 2025, Constructing material network representations for intelligent amorphous alloys design, https://arxiv.org/abs/2507.16336
  • Jinming Hu, Hassan Nawaz, Yuting Rui, Lijie Chi, Arif Ullah, Pavlo O. Dral, 22 Jul 2025, Aitomia: Your Intelligent Assistant for AI-Driven Atomistic and Quantum Chemical Simulations, https://arxiv.org/abs/2505.08195
  • Shanghai AI Lab: Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, et al. (50 additional authors not shown), 24 Jul 2025, SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law, https://arxiv.org/abs/2507.18576
  • Alberto Marchisio and Muhammad Shafique, 24 Jul 2025, Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions, https://arxiv.org/abs/2507.18139
  • Zhangqi Liu, 22 Jul 2025, Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems, https://arxiv.org/abs/2507.17774
  • Alberto Hern\'andez-Espinosa, Luan Ozelim, Felipe S. Abrah\~ao, Hector Zenil, 24 Jul 2025, SuperARC: An Agnostic Test for Narrow, General, and Super Intelligence Based On the Principles of Recursive Compression and Algorithmic Probability, https://arxiv.org/abs/2503.16743
  • Hanzhi Zhou, Erik Hornberger, Pengsheng Guo, Xiyou Zhou, Saiwen Wang, Xin Wang, Yifei He, Xuankai Chang, Rene Rauch, Louis D'hauwe, John Peebles, Alec Doane, Kohen Chia, Jenna Thibodeau, Zi-Yi Dou, Yuanyang Zhang, Ruoming Pang, Reed Li, Zhifeng Chen, Jeremy Warner, Zhaoyang Xu, Sophy Lee, David Mizrahi, Ramsey Tantawi, Chris Chaney, Kelsey Peterson, Jun Qin, Alex Dombrowski, Mira Chiang, Aiswarya Raghavan, Gerard Casamayor, Qibin Chen, Aonan Zhang, Nathalie Tran, Jianyu Wang, Hang Su, Thomas Voice, Alessandro Pappalardo, Brycen Wershing, Prasanth Yadla, Rui Li, Priyal Chhatrapati, Ismael Fernandez, Yusuf Goren, Xin Zheng, Forrest Huang, Tao Lei, Eray Yildiz, Alper Kokmen, Gokul Santhanam, Areeba Kamal, Kaan Elgin, Dian Ang Yap, Jeremy Liu, Peter Gray, Howard Xing, Kieran Liu, Matteo Ronchi, et al. (337 additional authors not shown), 17 Jul 2025, Apple Intelligence Foundation Language Models: Tech Report 2025, https://arxiv.org/abs/2507.13575
  • Shuiguang Deng, Di Yu, Changze Lv, Xin Du, Linshan Jiang, Xiaofan Zhao, Wentao Tong, Xiaoqing Zheng, Weijia Fang, Peng Zhao, Gang Pan, Schahram Dustdar, Albert Y. Zomaya, 18 Jul 2025, Edge Intelligence with Spiking Neural Networks, https://arxiv.org/abs/2507.14069
  • Maria Tsfasman, Ramin Ghorbani, Catholijn M. Jonker, Bernd Dudzik, 18 Jul 2025, The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?, https://arxiv.org/abs/2507.14084
  • Michael Timothy Bennett, 18 Jul 2025, What the F*ck Is Artificial General Intelligence?, https://arxiv.org/abs/2503.23923
  • Nick Byrd, 17 Jul 2025, Strategic Reflectivism In Intelligent Systems, https://arxiv.org/abs/2505.22987
  • Abhishek Sriram, Neal Tuffy, 18 Jul 2025, Accelerating RF Power Amplifier Design via Intelligent Sampling and ML-Based Parameter Tuning, https://arxiv.org/abs/2507.11928
  • Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang, Jilong Guo, Zongyou Yang, Jun Li, 18 Jul 2025, Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving, https://arxiv.org/abs/2409.00839
  • Rahul Kabali, 4 Jul 2025, The Free Will Equation: Quantum Field Analogies for AGI, https://arxiv.org/abs/2507.14154
  • Elio Grande, 20 Jul 2025, The Endless Tuning. An Artificial Intelligence Design To Avoid Human Replacement and Trace Back Responsibilities, https://arxiv.org/abs/2507.14909
  • Mohammad Mashayekhi, Sara Ahmadi Majd, Arian AmirAmjadi, Parsa Hosseini, 20 Jul 2025, Clinical Semantic Intelligence (CSI): Emulating the Cognitive Framework of the Expert Clinician for Comprehensive Oral Disease Diagnosis, https://arxiv.org/abs/2507.15140
  • Qianchao Wang, Yuxuan Ding, Chuanzhen Jia, Zhe Li, Yaping Du, 21 Jul 2025, Explainable Artificial Intelligence based Soft Evaluation Indicator for Arc Fault Diagnosis, https://arxiv.org/abs/2507.15239
  • Julien Pourcel, C\'edric Colas, Pierre-Yves Oudeyer, 10 Jul 2025, Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI, https://arxiv.org/abs/2507.14172
  • Yajiao Dai, Jun Li, Zhen Mei, Yiyang Ni, Shi Jin, Zengxiang Li, Sheng Guo, Wei Xiang, 12 Jul 2025, Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis, https://arxiv.org/abs/2507.14181
  • Federico Mason, Tommaso Zugno, Matteo Drago, Marco Giordani, Mate Boban, and Michele Zorzi, 15 Jul 2025, PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence, https://arxiv.org/abs/2507.14211
  • Craig S Wright, 16 Jul 2025, Cognitive Castes: Artificial Intelligence, Epistemic Stratification, and the Dissolution of Democratic Discourse, https://arxiv.org/abs/2507.14218
  • Shayan Rokhva, Babak Teimourpour, 19 Jul 2025, Artificial Intelligence in the Food Industry: Food Waste Estimation based on Computer Vision, a Brief Case Study in a University Dining Hall, https://arxiv.org/abs/2507.14662
  • Yiming Li, Shuo Shao, Yu He, Junfeng Guo, Tianwei Zhang, Zhan Qin, Pin-Yu Chen, Michael Backes, Philip Torr, Dacheng Tao, Kui Ren, 19 Jul 2025, Rethinking Data Protection in the (Generative) Artificial Intelligence Era, https://arxiv.org/abs/2507.03034
  • Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu, 13 Aug 2025 (v3), Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens, https://arxiv.org/abs/2508.01191
  • Haifeng Li, Wang Guo, Haiyang Wu, Mengwei Wu, Jipeng Zhang, Qing Zhu, Yu Liu, Xin Huang, Chao Tao, 9 Aug 2025, Remote Sensing Image Intelligent Interpretation with the Language-Centered Perspective: Principles, Methods and Challenges, https://arxiv.org/abs/2508.06832
  • Aswin Paul, Moein Khajehnejad, Forough Habibollahi, Brett J. Kagan, Adeel Razi, 9 Aug 2025, Simulating Biological Intelligence: Active Inference with Experiment-Informed Generative Model, https://arxiv.org/abs/2508.06980
  • Yi Tang, Kaini Wang, Yang Chen, Guangquan Zhou, 10 Aug 2025, EndoAgent: A Memory-Guided Reflective Agent for Intelligent Endoscopic Vision-to-Decision Reasoning, https://arxiv.org/abs/2508.07292
  • Mubaris Nadeem, Johannes Zenkert, Lisa Bender, Christian Weber, Madjid Fathi, 11 Aug 2025, KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations, https://arxiv.org/abs/2508.07834
  • Rachel K. Luu and Jingyu Deng and Mohammed Shahrudin Ibrahim and Nam-Joon Cho and Ming Dao and Subra Suresh and Markus J. Buehler, 8 Aug 2025, Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials, https://arxiv.org/abs/2508.06591
  • Hyeonuk Nam, 11 Aug 2025, Auditory Intelligence: Understanding the World Through Sound, https://arxiv.org/abs/2508.07829
  • Yuyang Zhou, Guang Cheng, Kang Du, Zihan Chen, Yuyu Zhao, 11 Aug 2025, Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense, https://arxiv.org/abs/2412.21051
  • Manish Verma, Vivek Sharma, Vishal Singh, 27 Jul 2025, Artificial Intelligence In Patent And Market Intelligence: A New Paradigm For Technology Scouting, https://arxiv.org/abs/2507.20322
  • Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenghailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang, 28 Jul 2025, A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence, https://arxiv.org/abs/2507.21046
  • Obumneme Nwafor and Mohammed Abdul Majeed Al Hooti, 21 Jul 2025, Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction, https://arxiv.org/abs/2507.19529
  • Jianping Yao, Son N. Tran, Hieu Nguyen, Samantha Sawyer, and Rocco Longo, 27 Jul 2025, Wine Characterisation with Spectral Information and Predictive Artificial Intelligence, https://arxiv.org/abs/2507.20114
  • Kimi Team: Yifan Bai, Yiping Bao, Guanduo Chen, Jiahao Chen, Ningxin Chen, Ruijue Chen, Yanru Chen, Yuankun Chen, Yutian Chen, Zhuofu Chen, Jialei Cui, Hao Ding, Mengnan Dong, Angang Du, Chenzhuang Du, Dikang Du, Yulun Du, Yu Fan, Yichen Feng, Kelin Fu, Bofei Gao, Hongcheng Gao, Peizhong Gao, Tong Gao, Xinran Gu, Longyu Guan, Haiqing Guo, Jianhang Guo, Hao Hu, Xiaoru Hao, Tianhong He, Weiran He, Wenyang He, Chao Hong, Yangyang Hu, Zhenxing Hu, Weixiao Huang, Zhiqi Huang, Zihao Huang, Tao Jiang, Zhejun Jiang, Xinyi Jin, Yongsheng Kang, Guokun Lai, Cheng Li, Fang Li, Haoyang Li, Ming Li, Wentao Li, Yanhao Li, Yiwei Li, Zhaowei Li, Zheming Li, Hongzhan Lin, Xiaohan Lin, Zongyu Lin, Chengyin Liu, Chenyu Liu, Hongzhang Liu, Jingyuan Liu, Junqi Liu, Liang Liu, Shaowei Liu, T.Y. Liu, Tianwei Liu, et al. (103 additional authors not shown), 28 Jul 2025, Kimi K2: Open Agentic Intelligence, https://arxiv.org/abs/2507.20534
  • Matin Aghaei, Mohammad Ali Alomrani, Yingxue Zhang, Mahdi Biparva, 26 Jul 2025, When Engineering Outruns Intelligence: A Re-evaluation of Instruction-Guided Navigation, https://arxiv.org/abs/2507.20021
  • Marta Sidorkiewicz, Karolina Kr\'olikowska, Berenika Dyczek, Edyta Pijet-Migon, Anna Dubel, 2 Jul 2025, Artificial intelligence for sustainable wine industry: AI-driven management in viticulture, wine production and enotourism, https://arxiv.org/abs/2507.21098
  • Jae Wan Shim, 21 Jul 2025, Measuring and Analyzing Intelligence via Contextual Uncertainty in Large Language Models using Information-Theoretic Metrics, https://arxiv.org/abs/2507.21129
  • Ashley Rector, Keaton Minor, Kamden Minor, Jeff McCormack, Beth Breeden, Ryan Nowers, Jay Dorris, 29 Jul 2025, Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (RAG), https://arxiv.org/abs/2507.21453
  • Bin Liu, 29 Jul 2025, Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems, https://arxiv.org/abs/2507.21589
  • Andrew Kiruluta, Andreas Lemos, and Priscilla Burity, 27 Jul 2025, Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning, https://arxiv.org/abs/2507.21189
  • Abir Ray, 28 Jul 2025, EdgeAgentX-DT: Integrating Digital Twins and Generative AI for Resilient Edge Intelligence in Tactical Networks, https://arxiv.org/abs/2507.21196
  • Leonard Dung and Max Hellrigel-Holderbaum, 29 Jul 2025, Against racing to AGI: Cooperation, deterrence, and catastrophic risks, https://arxiv.org/abs/2507.21839
  • Maximilian Ferle, Jonas Ader, Thomas Wiemers, Nora Grieb, Adrian Lindenmeyer, Hans-Jonas Meyer, Thomas Neumuth, Markus Kreuz, Kristin Reiche, Maximilian Merz, 29 Jul 2025, Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence, https://arxiv.org/abs/2506.12944
  • Hubert Baniecki and Przemyslaw Biecek, 28 Jul 2025, Adversarial attacks and defenses in explainable artificial intelligence: A survey, https://arxiv.org/abs/2306.06123
  • Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Jingxian He, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Yanqiu Xing, Themistocles L. Danielle S. Bitterman, Themistocles L. Assimes, Xin Ma, Lin Lu, Lizhou Fan, 29 Jul 2025, Simulated patient systems are intelligent when powered by large language model-based AI agents, https://arxiv.org/abs/2409.18924
  • Kees van Deemter, 29 Jul 2025, My Life in Artificial Intelligence: People, anecdotes, and some lessons learnt, https://arxiv.org/abs/2504.04142
  • Arushi Goel and Sreyan Ghosh and Jaehyeon Kim and Sonal Kumar and Zhifeng Kong and Sang-gil Lee and Chao-Han Huck Yang and Ramani Duraiswami and Dinesh Manocha and Rafael Valle and Bryan Catanzaro, 28 Jul 2025, Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models, https://arxiv.org/abs/2507.08128
  • Olga Vershinina, Jacopo Sabbatinelli, Anna Rita Bonfigli, Dalila Colombaretti, Angelica Giuliani, Mikhail Krivonosov, Arseniy Trukhanov, Claudio Franceschi, Mikhail Ivanchenko, Fabiola Olivieri, 31 Jul 2025, Explainable artificial intelligence model predicting the risk of all-cause mortality in patients with type 2 diabetes mellitus, https://arxiv.org/abs/2507.23491
  • Kathleen Mealey, Jonathan A. Karr Jr., Priscila Saboia Moreira, Paul R. Brenner, Charles F. Vardeman II, 24 Jul 2025, Trusted Knowledge Extraction for Operations and Maintenance Intelligence, https://arxiv.org/abs/2507.22935
  • Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang, 31 Jul 2025, Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents, https://arxiv.org/abs/2507.23698
  • Hanwen Zhang, Ruichen Zhang, Wei Zhang, Dusit Niyato, Yonggang Wen, Chunyan Miao, 31 Jul 2025, Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles, https://arxiv.org/abs/2501.15544
  • Chunan Tong, 31 Jul 2025, An Efficient Intelligent Semi-Automated Warehouse Inventory Stocktaking System, https://arxiv.org/abs/2309.12365
  • Jirui Yang, Zheyu Lin, Zhihui Lu, Yinggui Wang, Lei Wang, Tao Wei, Xin Du, Shuhan Yang, 31 Jul 2025, CEE: An Inference-Time Jailbreak Defense for Embodied Intelligence via Subspace Concept Rotation, https://arxiv.org/abs/2504.13201
  • Matthieu Queloz, 29 Jul 2025, Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence, https://arxiv.org/abs/2507.22197
  • Matej \v{S}progar, 30 Jul 2025, AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence, https://arxiv.org/abs/2504.04430
  • Yining Hong, Rui Sun, Bingxuan Li, Xingcheng Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan James Wang, Kai-Wei Chang, 29 Jul 2025, Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence, https://arxiv.org/abs/2506.15677
  • Marc Schmitt, 30 Jul 2025, Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer, https://arxiv.org/abs/2407.10247
  • Wil M.P. van der Aalst, 31 Jul 2025, No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence, https://arxiv.org/abs/2508.00116
  • Mohit Gupta, Debjit Bhowmick, Rhys Newbury, Meead Saberi, Shirui Pan and Ben Beck, 31 Jul 2025, INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks, https://arxiv.org/abs/2508.00141
  • Guilherme Guerino and Luiz Rodrigues and Luana Bianchiniand Mariana Alves and Marcelo Marinho and Thomaz Veloso and Valmir Macario and Diego Dermeval and Thales Vieira and Ig Bittencourt and Seiji Isotani, 31 Jul 2025, A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app, https://arxiv.org/abs/2508.00103
  • Rajpreet Singh, Vidhi Kothari, 1 Aug 2025, Composable OS Kernel Architectures for Autonomous Intelligence, https://arxiv.org/abs/2508.00604
  • S. V. Chekanov and H. Kjellerstrand, 1 Aug 2025, Discovering the underlying analytic structure within Standard Model constants using artificial intelligence, https://arxiv.org/abs/2507.00225
  • Christopher Wissuchek, Patrick Zschech, 7 Jul 2025, Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework, https://arxiv.org/abs/2508.00844
  • Boheng Liu and Ziyu Li and Xia Wu, 4 Aug 2025, Neuromorphic Computing with Multi-Frequency Oscillations: A Bio-Inspired Approach to Artificial Intelligence, https://arxiv.org/abs/2508.02191
  • Zhuo Yang, Jiaqing Xie, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, Yuqiang Li, 2 Aug 2025, SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy, https://arxiv.org/abs/2508.01188
  • Md Zahidul Islam, Md Shafiqur Rahman, Md Sumsuzoha, Babul Sarker, Md Rafiqul Islam, Mahfuz Alam and Sanjib Kumar Shil, 2 Aug 2025, Cryptocurrency Price Forecasting Using Machine Learning: Building Intelligent Financial Prediction Models, https://arxiv.org/abs/2508.01419
  • Sangjun Park, Tony Q.S. Quek, Hyowoon Seo, 4 Aug 2025, Pigeon-SL: Robust Split Learning Framework for Edge Intelligence under Malicious Clients, https://arxiv.org/abs/2508.02235
  • Songlin Xu, Xinyu Zhang, 9 Jul 2025, Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback, https://arxiv.org/abs/2508.00846
  • Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xinbing Liang, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu, 2 Aug 2025, Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems, https://arxiv.org/abs/2504.01990
  • Andrew G. Breithaupt, Michael Weiner, Alice Tang, Katherine L. Possin, Marina Sirota, James Lah, Allan I. Levey, Pascal Van Hentenryck, Reza Zandehshahvar, Marilu Luisa Gorno-Tempini, Joseph Giorgio, Jingshen Wang, Andreas M. Rauschecker, Howard J. Rosen, Rachel L. Nosheny, Bruce L. Miller, Pedro Pinheiro-Chagas, 1 Aug 2025, Integrating Generative Artificial Intelligence in ADRD: A Roadmap for Streamlining Diagnosis and Care in Neurodegenerative Diseases, https://arxiv.org/abs/2502.06842
  • Haris Khan, Shumaila Asif, Hassan Nasir, Kamran Aziz Bhatti, Shahzad Amin Sheikh, 1 Aug 2025, Advances in Intelligent Hearing Aids: Deep Learning Approaches to Selective Noise Cancellation, https://arxiv.org/abs/2507.07043
  • AgiBot-World-Contributors, Qingwen Bu, Jisong Cai, Li Chen, Xiuqi Cui, Yan Ding, Siyuan Feng, Shenyuan Gao, Xindong He, Xuan Hu, Xu Huang, Shu Jiang, Yuxin Jiang, Cheng Jing, Hongyang Li, Jialu Li, Chiming Liu, Yi Liu, Yuxiang Lu, Jianlan Luo, Ping Luo, Yao Mu, Yuehan Niu, Yixuan Pan, Jiangmiao Pang, Yu Qiao, Guanghui Ren, Cheng Ruan, Jiaqi Shan, Yongjian Shen, Chengshi Shi, Mingkang Shi, Modi Shi, Chonghao Sima, Jianheng Song, Huijie Wang, Wenhao Wang, Dafeng Wei, Chengen Xie, Guo Xu, Junchi Yan, Cunbiao Yang, Lei Yang, Shukai Yang, Maoqing Yao, Jia Zeng, Chi Zhang, Qinglin Zhang, Bin Zhao, Chengyue Zhao, Jiaqi Zhao, Jianchao Zhu, 4 Aug 2025, AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems, https://arxiv.org/abs/2503.06669
  • Xingdan Wang, Jiayi He, Zhiqing Tang, Jianxiong Guo, Jiong Lou, Liping Qian, Tian Wang, Weijia Jia, 5 Aug 2025, Adaptive AI Agent Placement and Migration in Edge Intelligence Systems, https://arxiv.org/abs/2508.03345
  • Davide Gabrielli, Bardh Prenkaj, Paola Velardi, Stefano Faralli, 5 Aug 2025, AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence, https://arxiv.org/abs/2508.03436
  • Albertus Denny Handoko and Riko I Made, 5 Aug 2025, Artificial Intelligence and Generative Models for Materials Discovery -- A Review, https://arxiv.org/abs/2508.03278
  • Siddhant Deshpande, Yalemzerf Getnet, Waltenegus Dargie, 4 Aug 2025, Detection of Intelligent Tampering in Wireless Electrocardiogram Signals Using Hybrid Machine Learning, https://arxiv.org/abs/2507.06402
  • Qiguang Chen, Mingda Yang, Libo Qin, Jinhao Liu, Zheng Yan, Jiannan Guan, Dengyun Peng, Yiyan Ji, Hanjing Li, Mengkang Hu, Yimeng Zhang, Yihao Liang, Yuhang Zhou, Jiaqi Wang, Zhi Chen, Wanxiang Che, 5 Aug 2025, AI4Research: A Survey of Artificial Intelligence for Scientific Research, https://arxiv.org/abs/2507.01903
  • Charles L. Wang, Trisha Singhal, Ameya Kelkar, Jason Tuo, 5 Aug 2025, MI9 -- Agent Intelligence Protocol: Runtime Governance for Agentic AI Systems, https://arxiv.org/abs/2508.03858
  • Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P.K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang, 5 Aug 2025, Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training, https://arxiv.org/abs/2508.03872
  • Anna Romanova, 5 Aug 2025, Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation), https://arxiv.org/abs/2508.03769
  • Fardis Nadimi, Payam Abdisarabshali, Kasra Borazjani, Jacob Chakareski, Seyyedali Hosseinalipour, 5 Aug 2025, Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR, https://arxiv.org/abs/2506.05683
  • Nan Li, Wanting Yang, Marie Siew, Zehui Xiong, Binbin Chen, Shiwen Mao, Kwok-Yan Lam, 6 Aug 2025, Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC), https://arxiv.org/abs/2508.04745
  • Zhaowei Wang and Yunsong Huang and Weicheng Liu and Hui-Ming Wang, 7 Aug 2025, Anti-Jamming Sensing with Distributed Reconfigurable Intelligent Metasurface Antennas, https://arxiv.org/abs/2508.04964
  • Bo Wen, 7 Aug 2025, A Framework for Inherently Safer AGI through Language-Mediated Active Inference, https://arxiv.org/abs/2508.05766
  • Christian Meske, Justin Brenne, Erdi Uenal, Sabahat Oelcer and Ayseguel Doganguen, 8 Aug 2025, From Explainable to Explanatory Artificial Intelligence: Toward a New Paradigm for Human-Centered Explanations through Generative AI, https://arxiv.org/abs/2508.06352
  • Xiangzhe Xu, Shiwei Feng, Zian Su, Chengpeng Wang, Xiangyu Zhang, 8 Aug 2025, Position: Intelligent Coding Systems Should Write Programs with Justifications, https://arxiv.org/abs/2508.06017
  • Mojtaba Valipour, Kelly Zheng, James Lowman, Spencer Szabados, Mike Gartner, and Bobby Braswell, 8 Aug 2025, AGI for the Earth, the path, possibilities and how to evaluate intelligence of models that work with Earth Observation Data?, https://arxiv.org/abs/2508.06057
  • Ruben Laukkonen, Fionn Inglis, Shamil Chandaria, Lars Sandved-Smith, Edmundo Lopez-Sola, Jakob Hohwy, Jonathan Gold, Adam Elwood, 8 Aug 2025, Contemplative Artificial Intelligence, https://arxiv.org/abs/2504.15125
  • Ahmed Tlili, 9 Aug 2025, Between Fear and Desire, the Monster Artificial Intelligence (AI): Analysis through the Lenses of Monster Theory, https://arxiv.org/abs/2508.08318
  • Sejin Kim, Sundong Kim, 12 Aug 2025, System~2 Reasoning for Human--AI Alignment: Generality and Adaptivity via ARC-AGI, https://arxiv.org/abs/2410.07866
  • Ratun Rahman, 12 Aug 2025, Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence, https://arxiv.org/abs/2504.17703
  • Jared Edward Reser, 11 Aug 2025, Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity, https://arxiv.org/abs/2204.05138
  • Jing Liu, Yao Du, Kun Yang, Jiaqi Wu, Yan Wang, Xiping Hu, Zehua Wang, Yang Liu, Peng Sun, Azzedine Boukerche, Victor C.M. Leung, 12 Aug 2025, Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey, https://arxiv.org/abs/2505.01821
  • Sundong Kim, 12 Aug 2025, The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards, https://arxiv.org/abs/2508.09292
  • Meiping Wang, Jian Zhong, Rongduo Han, Liming Kang, Zhengkun Shi, Xiao Liang, Xing Lin, Nan Gao, Haining Zhang, 13 Aug 2025, An Automated Multi-Modal Evaluation Framework for Mobile Intelligent Assistants, https://arxiv.org/abs/2508.09507
  • Manuel Herrador, 13 Aug 2025, The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?, https://arxiv.org/abs/2508.09762
  • Changyuan Zhao, Guangyuan Liu, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Jiawen Kang, Dusit Niyato, Zan Li, Xuemin (Sherman) Shen, Zhu Han, Sumei Sun, Chau Yuen, Dong In Kim, 13 Aug 2025, Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges, https://arxiv.org/abs/2508.09561
  • Xuanru Zhou, Cheng Li, Shuqiang Wang, Ye Li, Tao Tan, Hairong Zheng, and Shanshan Wang, 7 Aug 2025, Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation, https://arxiv.org/abs/2508.09177
  • Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast, 7 Aug 2025, RL-MoE: An Image-Based Privacy Preserving Approach In Intelligent Transportation System, https://arxiv.org/abs/2508.09186
  • Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yi-Fan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng, 11 Aug 2025, MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models, https://arxiv.org/abs/2508.09210
  • Ronald Carvalho Boadana, Ademir Guimar\~aes da Costa Junior, Ricardo Rios, F\'abio Santos da Silva, 7 Aug 2025, LLM-Based Intelligent Agents for Music Recommendation: A Comparison with Classical Content-Based Filtering, https://arxiv.org/abs/2508.11671
  • Vincent C. M\"uller and Nick Bostrom, 9 Aug 2025, Future progress in artificial intelligence: A survey of expert opinion, https://arxiv.org/abs/2508.11681
  • Kiruthika Balakrishnan, Durgadevi Velusamy, Hana E. Hinkle, Zhi Li, Karthikeyan Ramasamy, Hikmat Khan, Srini Ramaswamy, and Pir Masoom Shah, 15 Aug 2025, Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation, https://arxiv.org/abs/2508.11738
  • E. Ulises Moya-S\'anchez, Abraham S\'anchez-Perez, Ra\'ul Nanclares Da Veiga, Alejandro Zarate-Mac\'ias, Edgar Villareal, Alejandro S\'anchez-Montes, Edtna Jauregui-Ulloa, H\'ector Moreno and Ulises Cort\'es, 17 Aug 2025, Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients, https://arxiv.org/abs/2508.12506
  • Zhongang Cai, Yubo Wang, Qingping Sun, Ruisi Wang, Chenyang Gu, Wanqi Yin, Zhiqian Lin, Zhitao Yang, Chen Wei, Xuanke Shi, Kewang Deng, Xiaoyang Han, Zukai Chen, Jiaqi Li, Xiangyu Fan, Hanming Deng, Lewei Lu, Bo Li, Ziwei Liu, Quan Wang, Dahua Lin, Lei Yang, 18 Aug 2025, Has GPT-5 Achieved Spatial Intelligence? An Empirical Study, https://arxiv.org/abs/2508.13142
  • Ruitao Chen, Mozhang Guo, Jinge Li, 17 Aug 2025, Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control, https://arxiv.org/abs/2506.06459
  • Aleksandr Algazinov, Joydeep Chandra, and Matt Laing, 18 Aug 2025, INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization, https://arxiv.org/abs/2505.24269
  • Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai and Yu-Feng Li, 19 Aug 2025, Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models, https://arxiv.org/abs/2508.13678
  • Soumyadeep Dhar, 19 Aug 2025, The Collaboration Paradox: Why Generative AI Requires Both Strategic Intelligence and Operational Stability in Supply Chain Management, https://arxiv.org/abs/2508.13942
  • Mahmoud Nazzal, Khoa Nguyen, Deepak Vungarala, Ramtin Zand, Shaahin Angizi, Hai Phan, Abdallah Khreishah, 23 Jul 2025, FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design, https://arxiv.org/abs/2508.13162
  • Hunter McNichols, Fareya Ikram, Andrew Lan, 19 Aug 2025, The StudyChat Dataset: Student Dialogues With ChatGPT in an Artificial Intelligence Course, https://arxiv.org/abs/2503.07928
  • Jesmin Jahan Tithi and Hanjiang Wu and Avishaii Abuhatzera and Fabrizio Petrini, 19 Aug 2025, Scaling Intelligence: Designing Data Centers for Next-Gen Language Models, https://arxiv.org/abs/2506.15006
  • Kevin Xu, Risto Miikkulainen, 19 Aug 2025, Neural Cellular Automata for ARC-AGI, https://arxiv.org/abs/2506.15746
  • Lian Lian, Yilin Li, Song Han, Renzi Meng, Sibo Wang, Ming Wang, 20 Aug 2025, Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services, https://arxiv.org/abs/2508.14503
  • Md Mainul Abrar, Xun Jia, Yujie Chi, 19 Aug 2025, New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence, https://arxiv.org/abs/2508.14229
  • Sabab Aosaf, Muhammad Ali Nayeem, Afsana Haque, M Sohel Rahmana, 21 Aug 2025, Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas, https://arxiv.org/abs/2508.15240
  • Johannes Schleiss and Anke Manukjan and Michelle Ines Bieber and Sebastian Lang and Sebastian Stober, 18 Aug 2025, Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts, https://arxiv.org/abs/2508.14921
  • John E. Hummel and Rachel F. Heaton, 20 Aug 2025, From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence, https://arxiv.org/abs/2508.15082
  • Ben Dickson, August 19, 2025, LLMs generate ‘fluent nonsense’ when reasoning outside their training zone, https://venturebeat.com/ai/llms-generate-fluent-nonsense-when-reasoning-outside-their-training-zone/
  • Zhifeng Yang, Peizong Wu, 17 Aug 2025, Research on intelligent generation of structural demolition suggestions based on multi-model collaboration, https://arxiv.org/abs/2508.15820
  • Aparna Singh, Geetanjali Rathee, Chaker Abdelaziz Kerrache, Mohamed Chahine Ghanem, 22 Aug 2025, A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems, https://arxiv.org/abs/2508.16189
  • Yang Deng, Zifeng Ren, An Zhang, Tat-Seng Chua, 22 Aug 2025, Towards Goal-oriented Intelligent Tutoring Systems in Online Education, https://arxiv.org/abs/2312.10053
  • Shouwei Ruan, Liyuan Wang, Caixin Kang, Qihui Zhu, Songming Liu, Xingxing Wei and Hang Su, 24 Aug 2025, From reactive to cognitive: brain-inspired spatial intelligence for embodied agents, https://arxiv.org/abs/2508.17198
  • R\'enald Gesnot, 15 Aug 2025, The Impact of Artificial Intelligence on Human Thought, https://arxiv.org/abs/2508.16628
  • Hongrak Pak, Ali Mostafavi, 21 Aug 2025, Situational Awareness as the Imperative Capability for Disaster Resilience in the Era of Complex Hazards and Artificial Intelligence, https://arxiv.org/abs/2508.16669
  • Jussi S. Jauhiainen, Aurora Toppari, 22 Aug 2025, Generative Artificial Intelligence and Agents in Research and Teaching, https://arxiv.org/abs/2508.16701
  • Anton Ludwig Bonin, Pawel Robert Smolinski, Jacek Winiarski, 22 Aug 2025, Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security, https://arxiv.org/abs/2508.16811
  • Zixuan Dong, Baoyun Peng, Yufei Wang, Lin Liu, Xinxin Dong, Yunlong Cao, Xiaodong Wang, 25 Aug 2025, See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops, https://arxiv.org/abs/2508.17932
  • Kaushik Ravi, Andreas Br\"uck, 25 Aug 2025, Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities, https://arxiv.org/abs/2508.17648
  • Yajing Yang, Qian Liu, Min-Yen Kan, 23 Aug 2025, DataTales: A Benchmark for Real-World Intelligent Data Narration, https://arxiv.org/abs/2410.17859
  • Christopher J. Mungall and Adnan Malik and Daniel R. Korn and Justin T. Reese and Noel M. O'Boyle, Noel and Janna Hastings, 24 Aug 2025, Chemical classification program synthesis using generative artificial intelligence, https://arxiv.org/abs/2505.18470
  • Maryam Ahang, Todd Charter, Mostafa Abbasi, Maziyar Khadivi, Oluwaseyi Ogunfowora, Homayoun Najjaran, 22 Aug 2025, Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies, https://arxiv.org/abs/2401.10266
  • He Hu, Yucheng Zhou, Lianzhong You, Hongbo Xu, Qianning Wang, Zheng Lian, Fei Richard Yu, Fei Ma, Laizhong Cui, 25 Aug 2025, EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models, https://arxiv.org/abs/2502.04424
  • Walter Veit and Heather Browning, Sep 2025, Scientists discover crows can plan ahead and understand other minds in groundbreaking new study, https://www.msn.com/en-au/lifestyle/familyandrelationships/scientists-discover-crows-can-plan-ahead-and-understand-other-minds-in-groundbreaking-new-study/ar-AA1FmyXK
  • Tiernan Ray, Sept. 6, 2025, AI's not 'reasoning' at all - how this team debunked the industry hype: Researchers just got very specific about what a language model's 'chain of thought' is actually doing, https://www.zdnet.com/article/ais-not-reasoning-at-all-how-this-team-debunked-the-industry-hype/
  • Stephanie Palazzolo, Sep 2025, OpenAI’s Models Are Getting Too Smart For Their Human Teachers, https://www.theinformation.com/articles/openais-models-getting-smart-human-teachers (Using human labeling to train AI models is becoming more difficult, as the models begin to surpass humans.)
  • Jeremy Berman, Sep 17, 2025, How I got the highest score on ARC-AGI again swapping Python for English: Using Multi-Agent Collaboration with Evolutionary Test-Time Compute, https://jeremyberman.substack.com/p/how-i-got-the-highest-score-on-arc-agi-again (Generates multiple solutions then prunes them with "evolution" and iterates in multi-step inference.)
  • Yongzhi Qi, Jiaheng Yin, Jianshen Zhang, Dongyang Geng, Zhengyu Chen, Hao Hu, Wei Qi, Zuo-Jun Max Shen, 4 Sep 2025, Leveraging LLM-Based Agents for Intelligent Supply Chain Planning, https://arxiv.org/abs/2509.03811
  • Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani, Naji Khosravan, Minghui Liwang, Wei Ni, Dusit Niyato, Michael Langberg, Seyyedali Hosseinalipour, 3 Sep 2025, Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures, https://arxiv.org/abs/2509.03695
  • Parth Ashokbhai Shiroya, Swarnagowri Shashidhar, Amod Ashtekar, Krishna Aindrila Kar, Rafaela Lomboy, Dalton Davis, and Mohammed E. Eltayeb, 4 Sep 2025, Machine Learning for LiDAR-Based Indoor Surface Classification in Intelligent Wireless Environments, https://arxiv.org/abs/2509.03813
  • Ahmed Mubarak, Amna Ahmed, Amira Nasser, Aya Mohamed, Fares El-Sadek, Mohammed Ahmed, Ahmed Salah, Youssef Sobhy, 27 Aug 2025, QuesGenie: Intelligent Multimodal Question Generation, https://arxiv.org/abs/2509.03535
  • Guanglu Jia, Ceng Zhang, Gregory S. Chirikjian, 4 Sep 2025, INGRID: Intelligent Generative Robotic Design Using Large Language Models, https://arxiv.org/abs/2509.03842
  • Karl Fezer and Andrew Sloss, 3 Sep 2025, Intelligence Primer, https://arxiv.org/abs/2008.07324
  • Liang Li, Yuntian Li, Wenxin Zhao, Shan Ye, Yun Lu, 4 Sep 2025, Is Artificial Intelligence Reshaping the Landscape of the International Academic Community of Geosciences?, https://arxiv.org/abs/2508.20117
  • Sri Krishna Vadlamani, Kfir Sulimany, Zhihui Gao, Tingjun Chen, Dirk Englund, 4 Sep 2025, Machine Intelligence on Wireless Edge Networks, https://arxiv.org/abs/2506.12210
  • Ashutosh Kumar Sinha, Ayush Patel, Mitul Dudhat, Pritam Anand, and Rahul Mishra, 4 Sep 2025, i-Mask: An Intelligent Mask for Breath-Driven Activity Recognition, https://arxiv.org/abs/2509.04544
  • Brennen Hill, 4 Sep 2025, Scaling Environments for Organoid Intelligence with LLM-Automated Design and Plasticity-Based Evaluation, https://arxiv.org/abs/2509.04633
  • Yuxuan Du, Yan Zhu, Yuan-Hang Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Weibo Gao, Ya-Dong Wu, Jens Eisert, Giulio Chiribella, Dacheng Tao, Barry C. Sanders, 5 Sep 2025, Artificial intelligence for representing and characterizing quantum systems, https://arxiv.org/abs/2509.04923
  • Hung-Tien Huang, Dzung Dinh, Junier B. Oliva, 25 Aug 2025, Information Templates: A New Paradigm for Intelligent Active Feature Acquisition, https://arxiv.org/abs/2508.18380
  • I.I. Priezzhev, D.A. Danko, A.V. Shubin, 26 Aug 2025, Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method, https://arxiv.org/abs/2508.18953
  • Chiu-Chou Lin, 26 Aug 2025, Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games, https://arxiv.org/abs/2508.19152
  • Sidahmed Benabderrahmane, Talal Rahwan, 26 Aug 2025, Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence, https://arxiv.org/abs/2508.19019
  • Martin Lochner and Keegan Keplinger, 25 Aug 2025, Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations, https://arxiv.org/abs/2508.18488
  • Shaswata Mitra, Azim Bazarov, Martin Duclos, Sudip Mittal, Aritran Piplai, Md Rayhanur Rahman, Edward Zieglar, Shahram Rahimi, 26 Aug 2025, FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation, https://arxiv.org/abs/2508.18684
  • Jiaqi Wu, Jing Liu, Yang Liu, Lixu Wang, Zehua Wang, Wei Chen, Zijian Tian, Richard Yu, Victor C.M. Leung, 26 Aug 2025, A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks, https://arxiv.org/abs/2508.18803
  • Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal, 26 Aug 2025, General Intelligence Requires Reward-based Pretraining, https://arxiv.org/abs/2502.19402
  • Antonio L\'opez Mart\'inez, Alejandro Cano, Antonio Ruiz-Mart\'inez, 26 Aug 2025, Generative Artificial Intelligence-Supported Pentesting: A Comparison between Claude Opus, GPT-4, and Copilot, https://arxiv.org/abs/2501.06963
  • Nitish Jaipuria, Lorenzo Gatto, Zijun Kan, Shankey Poddar, Bill Cheung, Diksha Bansal, Ramanan Balakrishnan, Aviral Suri, Jose Estevez, 27 Aug 2025, CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments, https://arxiv.org/abs/2508.19932
  • Ji Wang, Kashing Chen, Xinyuan Song, Ke Zhang, Lynn Ai, Eric Yang, Bill Shi, 27 Aug 2025, Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence, https://arxiv.org/abs/2508.20019
  • Bijean Ghafouri, 20 Aug 2025, A Theory of Information, Variation, and Artificial Intelligence, https://arxiv.org/abs/2508.19264
  • Evandro L. T. P. Cunha, 26 Aug 2025, A perishable ability? The future of writing in the face of generative artificial intelligence, https://arxiv.org/abs/2508.19427
  • Sumon Kanti Dey, Jeanne M. Powell, Azra Ismail, Jeanmarie Perrone, Abeed Sarker, 26 Aug 2025, Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset, https://arxiv.org/abs/2508.19467
  • Zachary L. Crang, Rich D. Johnston, Katie L. Mills, Johsan Billingham, Sam Robertson, Michael H. Cole, Jonathon Weakley, Adam Hewitt and, Grant M. Duthie, 26 Aug 2025, Concurrent validity of computer-vision artificial intelligence player tracking software using broadcast footage, https://arxiv.org/abs/2508.19477
  • Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz, Muhammad Ali Jamshed, 27 Aug 2025, Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks, https://arxiv.org/abs/2508.19495
  • RexCharles Donatus, Kumater Ter, Ore-Ofe Ajayi, Daniel Udekwe, 27 Aug 2025, Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey, https://arxiv.org/abs/2508.20315
  • Alireza Abbaszadeh and Armita Shahlai, 26 Aug 2025, Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety, https://arxiv.org/abs/2508.20130
  • Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi, 28 Aug 2025, Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning, https://arxiv.org/abs/2508.20688
  • Javad Enayati and Pedram Asef and Alexandre Benoit, 28 Aug 2025, A Hybrid Artificial Intelligence Method for Estimating Flicker in Power Systems (Changes are marked), https://arxiv.org/abs/2506.13611
  • Deepro Choudhury, Sinead Williamson, Adam Goli\'nski, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth, 28 Aug 2025, BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design, https://arxiv.org/abs/2508.21184
  • Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul Torke, Michaela Kargl, Heimo M\"uller, Tomas Brazdil, Matej Gallo, Jaroslav Kub\'in, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub, 29 Aug 2025, Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives, https://arxiv.org/abs/2508.21418
  • Haozhe Tian, Qiyu Rao, Nina Moutonnet, Pietro Ferraro, Danilo Mandic, 29 Aug 2025, Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning, https://arxiv.org/abs/2508.21652
  • Zhang Lai Bin and Zhen Bin It, 30 Aug 2025, Artificial Intelligence-Based Analysis of Ice Cream Melting Behavior Under Various Ingredients, https://arxiv.org/abs/2509.00507
  • Li Weigang, Pedro Carvalho Brom, Lucas Ramson Siefert, 30 Aug 2025, LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain, https://arxiv.org/abs/2509.00510
  • Maijunxian Wang, Ran Ji, 2 Sep 2025, AGI as Second Being: The Structural-Generative Ontology of Intelligence, https://arxiv.org/abs/2509.02089
  • Long Jiang, Yang Yang, Ting Fong May Chui, Morgan Thornwell, Hoshin Vijai Gupta, 2 Sep 2025, Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems, https://arxiv.org/abs/2509.01972
  • Jiancheng Ye, Michelle Ma, Malak Abuhashish, 26 Aug 2025, The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development, https://arxiv.org/abs/2509.00068
  • Luca Cotti, Anisa Rula, Devis Bianchini, Federico Cerutti, 26 Aug 2025, Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies, https://arxiv.org/abs/2509.00081
  • Adel Vehrer and Zsolt Palfalusi, 28 Aug 2025, The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching, https://arxiv.org/abs/2509.00110
  • Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua and Sithamparanathan Kandeepan, 30 Aug 2025, Intelligent Spectrum Management in Satellite Communications, https://arxiv.org/abs/2509.00286
  • Jiading Fang, 30 Aug 2025, Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning, https://arxiv.org/abs/2509.00465
  • Luxi He, Nimra Nadeem, Michel Liao, Howard Chen, Danqi Chen, Mariano-Florentino Cu\'ellar, Peter Henderson, 1 Sep 2025, Statutory Construction and Interpretation for Artificial Intelligence, https://arxiv.org/abs/2509.01186
  • Urko Pe\~na-Alonso, Sim\'on Pe\~na-Fern\'andez and Koldobika Meso-Ayerdi, 1 Sep 2025, Journalists' Perceptions of Artificial Intelligence and Disinformation Risks, https://arxiv.org/abs/2509.01824
  • Gabriel Spadon, Oladapo Oyebode, Camilo M. Botero, Tushar Sharma, Floris Goerlandt, Ronald Pelot, 2 Sep 2025, Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia's Eastern Shore, https://arxiv.org/abs/2509.01845
  • Sheng Ye, Jiyu Li, Yifan Chai, Lin Liu, Murugesu Sivapalan, Qihua Ran, 2 Sep 2025, Using explainable artificial intelligence (XAI) as a diagnostic tool: An application for deducing hydrologic connectivity at watershed scale, https://arxiv.org/abs/2509.02127
  • Aline Dobrovsky, Konstantin Schekotihin, Christian Burmer, 2 Sep 2025, Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents, https://arxiv.org/abs/2506.15567
  • Andrew Ferguson, Marisa LaFleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille Bilodeau, Keith Brown, Emmanuel Candes, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor Coley, Andrew Connolly, Fred Daum, Sijia Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicol\'as Garc\'ia Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gomez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Guti\'errez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos Katsaggelos, Jeremy Kepner, Yannis Kevrekidis, Michelle Kuchera, J. Nathan Kutz, et al. (51 additional authors not shown), 2 Sep 2025, The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS), https://arxiv.org/abs/2509.02661
  • Pujitha Mamillapalli, Yoghitha Ramamoorthi, Abhinav Kumar, Tomoki Murakami, Tomoaki Ogawa and Yasushi Takatori, 3 Sep 2025, Unsupervised Learning based Element Resource Allocation for Reconfigurable Intelligent Surfaces in mmWave Network, https://arxiv.org/abs/2509.03241
  • Oguzhan Baser, Kaan Kale, Po-han Li and Sandeep Chinchali, 2 Sep 2025, Fair Resource Allocation for Fleet Intelligence, https://arxiv.org/abs/2509.03353
  • Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui, 3 Sep 2025, LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence, https://arxiv.org/abs/2509.03505
  • Nefeli Manoudaki, Mert Toka, Iason Paterakis, Diarmid Flatley, 3 Sep 2025, Simulacra Naturae: Generative Ecosystem driven by Agent-Based Simulations and Brain Organoid Collective Intelligence, https://arxiv.org/abs/2509.02924
  • Jie Yang, Jiajun Chen, Zhangyue Yin, Shuo Chen, Yuxin Wang, Yiran Guo, Yuan Li, Yining Zheng, Xuanjing Huang, Xipeng Qiu, 8 Sep 2025, VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction, https://arxiv.org/abs/2509.06736
  • Christo Mathew, Wentian Wang, Lazaros Gallos, Paul Kantor, Vladimir Menkov and Hao Wang, 7 Sep 2025, Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning, https://arxiv.org/abs/2509.06213
  • Aosong Feng, Zhichao Xu, Xian Wu, Kang Zhou, Sheng Guan, Yueyan Chen, Ninad Kulkarni, Yun Zhou, Balasubramaniam Srinivasan, Haibo Ding, Lin Lee Cheong, 8 Sep 2025, IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs, https://arxiv.org/abs/2509.06274
  • Waris Gill, Natalie Isak and Matthew Dressman, 6 Sep 2025, Cross-Service Threat Intelligence in LLM Services using Privacy-Preserving Fingerprints, https://arxiv.org/abs/2509.05608
  • Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma, 5 Sep 2025, Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems, https://arxiv.org/abs/2506.14096
  • Kosuke Imai, Kentaro Nakamura, 6 Sep 2025, Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments, https://arxiv.org/abs/2410.00903
  • Viswa Chaitanya Marella, Sai Teja Erukude, Suhasnadh Reddy Veluru, 7 Sep 2025, The Impact of Artificial Intelligence on Traditional Art Forms: A Disruption or Enhancement, https://arxiv.org/abs/2509.07029
  • Gustavo Assun\c{c}\~ao, Miguel Castelo-Branco, Paulo Menezes, 9 Sep 2025, Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology, https://arxiv.org/abs/2302.06615
  • Kaikai Zhao, Zhaoxiang Liu, Peng Wang, Xin Wang, Zhicheng Ma, Yajun Xu, Wenjing Zhang, Yibing Nan, Kai Wang, Shiguo Lian, 10 Sep 2025, MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance, https://arxiv.org/abs/2509.09730
  • Zhitian Hou, Zihan Ye, Nanli Zeng, Tianyong Hao, Kun Zeng, 12 Sep 2025, Large Language Models Meet Legal Artificial Intelligence: A Survey, https://arxiv.org/abs/2509.09969
  • Bui Duc Manh, Soumyaratna Debnath, Zetong Zhang, Shriram Damodaran, Arvind Kumar, Yueyi Zhang, Lu Mi, Erik Cambria and Lin Wang, 11 Sep 2025, Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective, https://arxiv.org/abs/2509.09154
  • Thuy Ngoc Nguyen and Anita Williams Woolley and Cleotilde Gonzalez, 11 Sep 2025, Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance, https://arxiv.org/abs/2509.09314
  • Edouard Lansiaux, Ramy Azzouz, Emmanuel Chazard, Am\'elie Vromant, Eric Wiel, 11 Sep 2025, Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept, https://arxiv.org/abs/2507.01080
  • Abhiyan Dhakal (1), Kausik Paudel (1), Sanjog Sigdel (1) ((1) Kathmandu University, Dhulikhel, Nepal), 18 Sep 2025, An Artificial Intelligence Driven Semantic Similarity-Based Pipeline for Rapid Literature, https://arxiv.org/abs/2509.15292
  • Lukas Laakmann, Seyyid A. Ciftci, Christian Janiesch, 19 Sep 2025, A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation, https://arxiv.org/abs/2509.15730
  • Andi Kuswoyo, Christos Margadji, Sebastian W. Pattinson, 16 Sep 2025, Intelligent Vacuum Thermoforming Process, https://arxiv.org/abs/2509.13250
  • Jesse Gardner, Vladimir A. Baulin, 13 Sep 2025, Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?, https://arxiv.org/abs/2509.10875
  • Sudeshna Jana, Manjira Sinha and Tirthankar Dasgupta, 14 Sep 2025, Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts, https://arxiv.org/abs/2509.11330
  • Tuan Bui, An Nguyen, Phat Thai, Minh Hua, Ngan Pham L.N., Ngan Pham T.B., Dung Le, Long Nguyen, Thanh-Tung Tran, Thang Bui, Tho Quan, 15 Sep 2025, Formal Reasoning for Intelligent QA Systems: A Case Study in the Educational Domain, https://arxiv.org/abs/2509.11572
  • Marcel van Gerven, 15 Sep 2025, Neuromorphic Intelligence, https://arxiv.org/abs/2509.11940
  • Markus J. Buehler, 15 Sep 2025, MusicSwarm: Biologically Inspired Intelligence for Music Composition, https://arxiv.org/abs/2509.11973
  • Thomas A. Buckley, Riccardo Conci, Peter G. Brodeur, Jason Gusdorf, Sourik Beltr\'an, Bita Behrouzi, Byron Crowe, Jacob Dockterman, Muzzammil Muhammad, Sarah Ohnigian, Andrew Sanchez, James A. Diao, Aashna P. Shah, Daniel Restrepo, Eric S. Rosenberg, Andrew S. Lea, Marinka Zitnik, Scott H. Podolsky, Zahir Kanjee, Raja-Elie E. Abdulnour, Jacob M. Koshy, Adam Rodman, Arjun K. Manrai, 15 Sep 2025, Advancing Medical Artificial Intelligence Using a Century of Cases, https://arxiv.org/abs/2509.12194
  • Rohan Tan Bhowmik, Youn Soo Jung, Juan Aguilera, Mary Prunicki, Kari Nadeau, 14 Sep 2025, California Wildfire Inventory (CAWFI): An Extensive Dataset for Predictive Techniques based on Artificial Intelligence, https://arxiv.org/abs/2509.11015
  • Seyed Kourosh Mahjour, Seyed Saman Mahjour, 14 Sep 2025, Intelligent Reservoir Decision Support: An Integrated Framework Combining Large Language Models, Advanced Prompt Engineering, and Multimodal Data Fusion for Real-Time Petroleum Operations, https://arxiv.org/abs/2509.11376
  • Vadim Allayev and Mahbubur Rahman, 1 Sep 2025, An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms, https://arxiv.org/abs/2509.10507
  • Jan Cvengros, Gerd Kortemeyer, 12 Sep 2025, Assisting the Grading of a Handwritten General Chemistry Exam with Artificial Intelligence, https://arxiv.org/abs/2509.10591
  • Ziwen He, Zhigang Wang, Yanlong Peng, Pengxu Chang, Hong Yang, and Ming Chen, 14 Sep 2025, Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP, https://arxiv.org/abs/2509.11270
  • James C. Ward, Alex Bott, Connor York, and Edmund R. Hunt, 15 Sep 2025, Time-Constrained Intelligent Adversaries for Automation Vulnerability Testing: A Multi-Robot Patrol Case Study, https://arxiv.org/abs/2509.11971
  • Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy, 12 Sep 2025, SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions, https://arxiv.org/abs/2507.10798
  • Meltem Subasioglu, Nevzat Subasioglu, 17 Sep 2025, From Mimicry to True Intelligence (TI) - A New Paradigm for Artificial General Intelligence, https://arxiv.org/abs/2509.14474
  • Amy Rafferty, Rishi Ramaesh, Ajitha Rajan, 18 Sep 2025, Limitations of Public Chest Radiography Datasets for Artificial Intelligence: Label Quality, Domain Shift, Bias and Evaluation Challenges, https://arxiv.org/abs/2509.15107
  • Oluwatosin Agbaakin (Indiana University Indianapolis), 18 Sep 2025, Leveraging Artificial Intelligence as a Strategic Growth Catalyst for Small and Medium-sized Enterprises, https://arxiv.org/abs/2509.14532
  • Taesoo Kim, HyungSeok Han, Soyeon Park, Dae R. Jeong, Dohyeok Kim, Dongkwan Kim, Eunsoo Kim, Jiho Kim, Joshua Wang, Kangsu Kim, Sangwoo Ji, Woosun Song, Hanqing Zhao, Andrew Chin, Gyejin Lee, Kevin Stevens, Mansour Alharthi, Yizhuo Zhai, Cen Zhang, Joonun Jang, Yeongjin Jang, Ammar Askar, Dongju Kim, Fabian Fleischer, Jeongin Cho, Junsik Kim, Kyungjoon Ko, Insu Yun, Sangdon Park, Dowoo Baik, Haein Lee, Hyeon Heo, Minjae Gwon, Minjae Lee, Minwoo Baek, Seunggi Min, Wonyoung Kim, Yonghwi Jin, Younggi Park, Yunjae Choi, Jinho Jung, Gwanhyun Lee, Junyoung Jang, Kyuheon Kim, Yeonghyeon Cha, Youngjoon Kim, 18 Sep 2025, ATLANTIS: AI-driven Threat Localization, Analysis, and Triage Intelligence System, https://arxiv.org/abs/2509.14589
  • Jinshuai Gu, Zenghui Lin, Jingying Ma, Jingyu Wang, Linyan Zhang, Rui Bai, Zelin Tu, Youyou Jiang, Donglin Xie, Yuxi Zhou, Guoli Liu, Shenda Hong, 3 Sep 2025, Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes, https://arxiv.org/abs/2509.14242
  • Charlie Pilgrim, Joe Morford, Elizabeth Warren, M\'elisande Aellen, Christopher Krupenye, Richard P Mann, Dora Biro, 6 Sep 2025, The Computational Foundations of Collective Intelligence, https://arxiv.org/abs/2509.07999
  • Zeinab Ghasemi Darehnaei, Mohammad Shokouhifar, Hossein Yazdanjouei, S.M.J. Rastegar Fatemi, 9 Sep 2025, Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles, https://arxiv.org/abs/2509.08026
  • Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jed Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi, 9 Sep 2025, Lifetime-Aware Design of Item-Level Intelligence, https://arxiv.org/abs/2509.08193
  • Sam Yu-Te Lee, Chenyang Ji, Shicheng Wen, Lifu Huang, Dongyu Liu, Kwan-Liu Ma, 10 Sep 2025, VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents, https://arxiv.org/abs/2506.21582
  • SaeedReza Motamedian, Sadra Mohaghegh, Elham Babadi Oregani, Mahrsa Amjadi, Parnian Shobeiri, Negin Cheraghi, Niusha Solouki, Nikoo Ahmadi, Hossein Mohammad-Rahimi, Yassine Bouchareb, Arman Rahmim, 1 Aug 2024, Prognosis of COVID-19 using Artificial Intelligence: A Systematic Review and Meta-analysis, https://arxiv.org/abs/2408.00208
  • Alejandro D. Mousist, 16 Sep 2025, ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy, https://arxiv.org/abs/2509.13380
  • Samer Al-Hamadani, 16 Sep 2025, Intelligent Healthcare Imaging Platform An VLM-Based Framework for Automated Medical Image Analysis and Clinical Report Generation, https://arxiv.org/abs/2509.13590
  • Eva Roytburg, Oct 2025, Did an OpenAI cofounder just pop the AI bubble? ‘The models are not there’ Fortune, https://www.msn.com/en-au/news/other/did-an-openai-cofounder-just-pop-the-ai-bubble-the-models-are-not-there/ar-AA1OUaGs
  • Bo Ma, Hang Li, ZeHua Hu, XiaoFan Gui, LuYao Liu, Simon Lau, 2 Oct 2025, AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence, https://arxiv.org/abs/2510.01609
  • Min Zeng, 2 Oct 2025, PychoBench: Evaluating the Psychology Intelligence of Large Language Models, https://arxiv.org/abs/2510.01611
  • John Hawkins, 2 Oct 2025, Improving AGI Evaluation: A Data Science Perspective, https://arxiv.org/abs/2510.01687
  • Mohamad Abou Ali, Fadi Dornaika, 1 Oct 2025, Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons, https://arxiv.org/abs/2510.01439
  • Youwei Bao, Shuhan Yang, Hyunsoo Yang, 2 Oct 2025, Securing generative artificial intelligence with parallel magnetic tunnel junction true randomness, https://arxiv.org/abs/2510.01598
  • Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali, 2 Oct 2025, FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling, https://arxiv.org/abs/2510.01887
  • Mattson Ogg, Ritwik Bose, Jamie Scharf, Christopher Ratto, Michael Wolmetz, 1 Oct 2025, A Flexible Method for Behaviorally Measuring Alignment Between Human and Artificial Intelligence Using Representational Similarity Analysis, https://arxiv.org/abs/2412.00577
  • Chengpeng Hu, Calvin Yu-Chian Chen, 14 Oct 2025, Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation, https://arxiv.org/abs/2510.12498
  • Wissam Salhab, Darine Ameyed, Hamid Mcheick, and Fehmi Jaafar, 14 Oct 2025, Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection, https://arxiv.org/abs/2510.12713
  • Ananth Hariharan, 12 Oct 2025, Artificial Intelligence for Optimal Learning: A Comparative Approach towards AI-Enhanced Learning Environments, https://arxiv.org/abs/2510.11755
  • Yutong Cheng, Yang Liu, Changze Li, Dawn Song, Peng Gao, 13 Oct 2025, CTIArena: Benchmarking LLM Knowledge and Reasoning Across Heterogeneous Cyber Threat Intelligence, https://arxiv.org/abs/2510.11974
  • Alejandro Lopez-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi, 14 Oct 2025, Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies, https://arxiv.org/abs/2510.12714
  • Kei-Sing Ng, 13 Oct 2025, Similarity Field Theory: A Mathematical Framework for Intelligence, https://arxiv.org/abs/2509.18218
  • Rafael da Silva Maciel, Lucio Veraldo Jr, 29 Sep 2025, Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Automotive Industry, https://arxiv.org/abs/2510.00067
  • Ehsan Aghaei, Sarthak Jain, Prashanth Arun, Arjun Sambamoorthy, 30 Sep 2025, SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence, https://arxiv.org/abs/2510.00240
  • Matthew David Hamilton, 30 Sep 2025, Digital Domination: A Case for Republican Liberty in Artificial Intelligence, https://arxiv.org/abs/2510.00312
  • Samita Bai, Sidra Nasir, Rizwan Ahmed Khan, Alexandre Meyer, and Hubert Konik, 30 Sep 2025, Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques, https://arxiv.org/abs/2406.00532
  • Changyu Zeng, Yifan Wang, Zimu Wang, Wei Wang, Zhengni Yang, Muyi Bao, Jiming Xiao, Anh Nguyen, and Yutao Yue, 1 Oct 2025, NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities, https://arxiv.org/abs/2509.16656
  • Shuqing Li, Binchang Li, Yepang Liu, Cuiyun Gao, Jianping Zhang, Shing-Chi Cheung, Michael R. Lyu, 1 Oct 2025, Grounded GUI Understanding for Vision-Based Spatial Intelligent Agent: Exemplified by Extended Reality Apps, https://arxiv.org/abs/2409.10811
  • Yuqiao Meng, Luoxi Tang, Feiyang Yu, Jinyuan Jia, Guanhua Yan, Ping Yang, Zhaohan Xi, 1 Oct 2025, Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence, https://arxiv.org/abs/2509.23573
  • Krisztian Balog, ChengXiang Zhai, 23 Sep 2025, The Indispensable Role of User Simulation in the Pursuit of AGI, https://arxiv.org/abs/2509.19456
  • Xudong Zhang, Jingbo Tan, Zhizhen Ren, Jintao Wang, Yihua Ma, Jian Song, 15 Sep 2025, CSIYOLO: An Intelligent CSI-based Scatter Sensing Framework for Integrated Sensing and Communication Systems, https://arxiv.org/abs/2509.19335
  • Lauren Deason, Adam Bali, Ciprian Bejean, Diana Bolocan, James Crnkovich, Ioana Croitoru, Krishna Durai, Chase Midler, Calin Miron, David Molnar, Brad Moon, Bruno Ostarcevic, Alberto Peltea, Matt Rosenberg, Catalin Sandu, Arthur Saputkin, Sagar Shah, Daniel Stan, Ernest Szocs, Shengye Wan, Spencer Whitman, Sven Krasser, Joshua Saxe, 24 Sep 2025, CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning, https://arxiv.org/abs/2509.20166
  • Jarne Mathi Decker, 24 Sep 2025, Intelligent Algorithm Selection for Recommender Systems: Meta-Learning via in-depth algorithm feature engineering, https://arxiv.org/abs/2509.20134
  • Xueqiang Ouyang and Jia Wei, 24 Sep 2025, Multi-Modal Artificial Intelligence of Embryo Grading and Pregnancy Prediction in Assisted Reproductive Technology: A Review, https://arxiv.org/abs/2505.20306
  • Siying Li and Lang Tong and Timothy D. Mount, 23 Sep 2025, Energy Management for Renewable-Colocated Artificial Intelligence Data Centers, https://arxiv.org/abs/2507.08011
  • Pedram Fard, Alaleh Azhir, Neguine Rezaii, Jiazi Tian, Hossein Estiri, 28 Oct 2025, An N-of-1 Artificial Intelligence Ecosystem for Precision Medicine, https://arxiv.org/abs/2510.24359
  • Fujiang Yuan, Yangrui Fan, Xiaohuan Bing, Zhen Tian, Chunhong Yuan, Yankang Li, 26 Oct 2025, Traffic flow forecasting, STL decomposition, Hybrid model, LSTM, ARIMA, XGBoost, Intelligent transportation systems, https://arxiv.org/abs/2510.23668
  • Ayse Irmak Ercevik (TOBB University of Economics and Technology, Ankara, Turkey), Ahmet Murat Ozbayoglu (TOBB University of Economics and Technology, Ankara, Turkey), 27 Oct 2025, Artificial Intelligence Based Predictive Maintenance for Electric Buses, https://arxiv.org/abs/2510.23879
  • Pablo Acuaviva, Aram Davtyan, Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Alexandre Alahi, Paolo Favaro, 28 Oct 2025, Rethinking Visual Intelligence: Insights from Video Pretraining, https://arxiv.org/abs/2510.24448
  • Eliseo Curcio, 16 Oct 2025, Benchmarking Reasoning Reliability in Artificial Intelligence Models for Energy-System Analysis, https://arxiv.org/abs/2510.19836
  • Marcelo Maciel Amaral and Raymond Aschheim, 23 Oct 2025, The Lock-In Phase Hypothesis: Identity Consolidation as a Precursor to AGI, https://arxiv.org/abs/2510.20190
  • Eric Ngoiya and Tianshu Bao, 23 Oct 2025, Fluidity Index: Next-Generation Super-intelligence Benchmarks, https://arxiv.org/abs/2510.20636
  • Fares Fourati, 23 Oct 2025, A Coherence-Based Measure of AGI, https://arxiv.org/abs/2510.20784
  • Fiza Hussain, Anson Bastos, Anjaly Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan, 23 Oct 2025, Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems, https://arxiv.org/abs/2510.20640
  • Md Ashad Alam and Md Amanullah, 22 Oct 2025, Artificial Intelligence Powered Identification of Potential Antidiabetic Compounds in Ficus religiosa, https://arxiv.org/abs/2510.19867
  • Sonal Allana, Mohan Kankanhalli, Rozita Dara, 23 Oct 2025, Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review, https://arxiv.org/abs/2505.02828
  • Elizaveta Semenova, Alisa Sheinkman, Timothy James Hitge, Siobhan Mackenzie Hall, Jon Cockayne, 23 Oct 2025, SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era, https://arxiv.org/abs/2502.06753
  • Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang, 18 Oct 2025, Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence, https://arxiv.org/abs/2510.16555
  • Paul Saves and Pramudita Satria Palar and Muhammad Daffa Robani and Nicolas Verstaevel and Moncef Garouani and Julien Aligon and Benoit Gaudou and Koji Shimoyama and Joseph Morlier, 19 Oct 2025, Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration, https://arxiv.org/abs/2510.16742
  • Johan Schubert, Farzad Kamrani, Tove Gustavi, 20 Oct 2025, Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions, https://arxiv.org/abs/2510.17450
  • Qingchuan Yang, Simon Mahns, Sida Li, Anri Gu, Jibang Wu, Haifeng Xu, 20 Oct 2025, LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena, https://arxiv.org/abs/2510.17638
  • Bo Li, Junwei Ma, Kai Yin, Yiming Xiao, Chia-Wei Hsu, Ali Mostafavi, 16 Oct 2025, Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience, https://arxiv.org/abs/2510.16034
  • Xinwei Zhang, Hu Chen, Zhe Yuan, Sukun Tian and Peng Feng, 20 Oct 2025, Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model, https://arxiv.org/abs/2510.17684
  • Rishi Raj Sahoo, Surbhi Saswati Mohanty, Subhankar Mishra, 18 Oct 2025, iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance, https://arxiv.org/abs/2510.16375
  • Nicholas Kruus, Madhavendra Thakur, Adam Khoja, Leonhard Nagel, Maximilian Nicholson, Abeer Sharma, Jason Hausenloy, Alberto KoTafoya, Aliya Mukhanova, Alli Katila-Miikkulainen, Harish Chandran, Ivan Zhang, Jessie Chen, Joel Raj, Jord Nguyen, Lai Hsien Hao, Neja Jayasundara, Soham Sen, Sophie Zhang, Ashley Dora Kokui Tamaklo, Bhavya Thakur, Henry Close, Janghee Lee, Nina Sefton, Raghavendra Thakur, Shiv Munagala, Yeeun Kim, 21 Sep 2025, Governing Automated Strategic Intelligence, https://arxiv.org/abs/2509.17087
  • Jianlong Chang, Haixin Wang, Zhiyuan Dang, Li Huang, Zhiyu Wang, Ruoqi Cao, Shihao Piao, Dongzhe Li, Dianyu Gao, Dongsheng Wang, Yin Li, Jinan Sun, Lu Fang, Zhouchen Lin, 22 Sep 2025, AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks, https://arxiv.org/abs/2509.17460
  • Raisa Amiruddin, Nikolay Y. Yordanov, Nazanin Maleki, Pascal Fehringer, Athanasios Gkampenis, Anastasia Janas, Kiril Krantchev, Ahmed Moawad, Fabian Umeh, Salma Abosabie, Sara Abosabie, Albara Alotaibi, Mohamed Ghonim, Mohanad Ghonim, Sedra Abou Ali Mhana, Nathan Page, Marko Jakovljevic, Yasaman Sharifi, Prisha Bhatia, Amirreza Manteghinejad, Melisa Guelen, Michael Veronesi, Virginia Hill, Tiffany So, Mark Krycia, Bojan Petrovic, Fatima Memon, Justin Cramer, Elizabeth Schrickel, Vilma Kosovic, Lorenna Vidal, Gerard Thompson, Ichiro Ikuta, Basimah Albalooshy, Ali Nabavizadeh, Nourel Hoda Tahon, Karuna Shekdar, Aashim Bhatia, Claudia Kirsch, Gennaro D'Anna, Philipp Lohmann, Amal Saleh Nour, Andriy Myronenko, Adam Goldman-Yassen, Janet R. Reid, Sanjay Aneja, Spyridon Bakas, Mariam Aboian, 21 Sep 2025, Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform, https://arxiv.org/abs/2509.17281
  • Javier Jim\'enez-Rom\'an, Florina Almenares-Mendoza, Alfonso S\'anchez-Maci\'an, 20 Sep 2025, Design and Development of an Intelligent LLM-based LDAP Honeypot, https://arxiv.org/abs/2509.16682
  • Wenxin Li, Kunyu Peng, Di Wen, Ruiping Liu, Mengfei Duan, Kai Luo, Kailun Yang, 20 Sep 2025, Segment-to-Act: Label-Noise-Robust Action-Prompted Video Segmentation Towards Embodied Intelligence, https://arxiv.org/abs/2509.16677
  • Salim Oyinlola, Peter Olabisi Oluseyi, 21 Sep 2025, Machine Learning for Campus Energy Resilience: Clustering and Time-Series Forecasting in Intelligent Load Shedding, https://arxiv.org/abs/2509.17097
  • Zhen Zhao, Dunbing Tang, Changchun Liu, Liping Wang, Zequn Zhang, Haihua Zhu, Kai Chen, Qingwei Nie, Yuchen Ji, 22 Sep 2025, A Large Language Model-based multi-agent manufacturing system for intelligent shopfloor, https://arxiv.org/abs/2405.16887
  • Jieren Deng, Zhizhang Hu, Ziyan He, Aleksandar Cvetkovic, Pak Kiu Chung, Dragomir Yankov and Chiqun Zhang, 20 Sep 2025, IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligence, https://arxiv.org/abs/2507.06993
  • Zhenya Huang, Jiayu Liu, Xin Lin, Zhiyuan Ma, Shangzi Xue, Tong Xiao, Qi Liu, Yee Whye Teh, Enhong Chen, 24 Oct 2025, Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective, https://arxiv.org/abs/2510.21999
  • Marcus Thomas, 24 Oct 2025, Towards Error-Centric Intelligence II: Energy-Structured Causal Models, https://arxiv.org/abs/2510.22050
  • Abhijit Chatterjee, Niraj K. Jha, Jonathan D. Cohen, Thomas L. Griffiths, Hongjing Lu, Diana Marculescu, Ashiqur Rasul, and Keshab K. Parhi, 24 Oct 2025, Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents: Pathways and Paradigms, https://arxiv.org/abs/2510.22052
  • Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu, 25 Oct 2025, Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies, https://arxiv.org/abs/2510.22095
  • KC Santosh, Rodrigue Rizk, and Longwei Wang, 27 Oct 2025, Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence, https://arxiv.org/abs/2510.23524
  • Qiushi Sun, Jingyang Gong, Yang Liu, Qiaosheng Chen, Lei Li, Kai Chen, Qipeng Guo, Ben Kao, Fei Yuan, 27 Oct 2025, JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence, https://arxiv.org/abs/2510.23538
  • Callum Sharrock, Lukas Petersson, Hanna Petersson, Axel Backlund, Axel Wennstr\"om, Kristoffer Nordstr\"om, Elias Aronsson, 23 Oct 2025, Butter-Bench: Evaluating LLM Controlled Robots for Practical Intelligence, https://arxiv.org/abs/2510.21860
  • Mohammad Abdul Rehman, Syed Imad Ali Shah, Abbas Anwar, Noor Islam, 26 Oct 2025, When Intelligence Fails: An Empirical Study on Why LLMs Struggle with Password Cracking, https://arxiv.org/abs/2510.17884
  • Adnan Jafar, Xun Jia, 15 Oct 2025, Towards Human-Centric Intelligent Treatment Planning for Radiation Therapy, https://arxiv.org/abs/2510.13062
  • Xuxin Cheng, Ke Zeng, Zhiquan Cao, Linyi Dai, Wenxuan Gao, Fei Han, Ai Jian, Feng Hong, Wenxing Hu, Zihe Huang, Dejian Kong, Jia Leng, Zhuoyuan Liao, Pei Liu, Jiaye Lin, Xing Ma, Jingqing Ruan, Jiaxing Song, Xiaoyu Tan, Ruixuan Xiao, Wenhui Yu, Wenyu Zhan, Haoxing Zhang, Chao Zhou, Hao Zhou, Shaodong Zheng, Ruinian Chen, Siyuan Chen, Ziyang Chen, Yiwen Dong, Yaoyou Fan, Yangyi Fang, Yang Gan, Shiguang Guo, Qi He, Chaowen Hu, Binghui Li, Dailin Li, Xiangyu Li, Yan Li, Chengjian Liu, Xiangfeng Liu, Jiahui Lv, Qiao Ma, Jiang Pan, Cong Qin, Chenxing Sun, Wen Sun, Zhonghui Wang, Abudukelimu Wuerkaixi, Xin Yang, Fangyi Yuan, Yawen Zhu, Tianyi Zhai, Jie Zhang, Runlai Zhang, Yao Xu, Yiran Zhao, Yifan Wang, Xunliang Cai, Yangen Hu, Cao Liu, Lu Pan, Xiaoli Wang, Bo Xiao, Wenyuan Yao, Qianlin Zhou, Benchang Zhu, 15 Oct 2025, Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems, https://arxiv.org/abs/2510.13291
  • Weishi Wang, Hengchang Hu, Zhijie Zhang, Zhaochen Li, Hongxin Shao, Daniel Dahlmeier, 15 Oct 2025, Document Intelligence in the Era of Large Language Models: A Survey, https://arxiv.org/abs/2510.13366
  • Atma Anand, 14 Oct 2025, Coordination Requires Simplification: Thermodynamic Bounds on Multi-Objective Compromise in Natural and Artificial Intelligence, https://arxiv.org/abs/2509.23144
  • Jing Yang, 15 Oct 2025, Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process, https://arxiv.org/abs/2502.00874
  • Belinda Trotta, Robert Johnson, Catherine de Burgh-Day, Debra Hudson, Esteban Abellan, James Canvin, Andrew Kelly, Daniel Mentiplay, Benjamin Owen, Jennifer Whelan, 15 Oct 2025, Statistical post-processing yields accurate probabilistic forecasts from Artificial Intelligence weather models, https://arxiv.org/abs/2504.12672
  • Rina Panigrahy, Vatsal Sharan, 25 Sep 2025, Limitations on Safe, Trusted, Artificial General Intelligence, https://arxiv.org/abs/2509.21654
  • Lucio Anderlini, Giulio Bianchini, Diego Ciangottini, Stefano Dal Pra, Diego Michelotto, Rosa Petrini, Daniele Spiga, 26 Sep 2025, The AI_INFN Platform: Artificial Intelligence Development in the Cloud, https://arxiv.org/abs/2509.22117
  • Wentao Zhang, Liang Zeng, Yuzhen Xiao, Yongcong Li, Ce Cui, Yilei Zhao, Rui Hu, Yang Liu, Yahui Zhou, Bo An, 26 Sep 2025, AgentOrchestra: Orchestrating Hierarchical Multi-Agent Intelligence with the Tool-Environment-Agent(TEA) Protocol, https://arxiv.org/abs/2506.12508
  • Yann Bellec, 3 Oct 2025, Dream2Image : An Open Multimodal EEG Dataset for Decoding and Visualizing Dreams with Artificial Intelligence, https://arxiv.org/abs/2510.06252
  • Pompeu Casanovas (IIIA-CSIC), 8 Oct 2025, On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version], https://arxiv.org/abs/2510.07268
  • Tuan Dung Nguyen, Duncan J. Watts, Mark E. Whiting, 8 Oct 2025, Empirically evaluating commonsense intelligence in large language models with large-scale human judgments, https://arxiv.org/abs/2505.10309
  • Marco Arazzi, Vignesh Kumar Kembu, Antonino Nocera, Vinod P, 3 Oct 2025, XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs, https://arxiv.org/abs/2504.21700
  • Chuanqi Liang, Jie Fu, Miao Yu, and Lei Luo, 3 Oct 2025, SBP-YOLO:A Lightweight Real-Time Model for Detecting Speed Bumps and Potholes toward Intelligent Vehicle Suspension Systems, https://arxiv.org/abs/2508.01339
  • Abhigya Verma, Seganrasan Subramanian, Nandhakumar Kandasamy, Naman Gupta, 20 Oct 2025, FABRIC: Framework for Agent-Based Realistic Intelligence Creation, https://arxiv.org/abs/2510.17995
  • Dan Hendrycks, Dawn Song, Christian Szegedy, Honglak Lee, Yarin Gal, Erik Brynjolfsson, Sharon Li, Andy Zou, Lionel Levine, Bo Han, Jie Fu, Ziwei Liu, Jinwoo Shin, Kimin Lee, Mantas Mazeika, Long Phan, George Ingebretsen, Adam Khoja, Cihang Xie, Olawale Salaudeen, Matthias Hein, Kevin Zhao, Alexander Pan, David Duvenaud, Bo Li, Steve Omohundro, Gabriel Alfour, Max Tegmark, Kevin McGrew, Gary Marcus, Jaan Tallinn, Eric Schmidt, Yoshua Bengio, 21 Oct 2025, A Definition of AGI, https://arxiv.org/abs/2510.18212
  • Feifan Xia, Yuyang Fang, Defang Li, Yantong Xie, Weikang Li, Yang Li, Deguo Xia, Jizhou Huang, 21 Oct 2025, Probabilistic Modeling of Intentions in Socially Intelligent LLM Agents, https://arxiv.org/abs/2510.18476
  • Andrew Bowne, 20 Oct 2025, Attracting Commercial Artificial Intelligence Firms to Support National Security through Collaborative Contracts, https://arxiv.org/abs/2510.17931
  • Ana En\'eriz Janeiro, Karina Pitombeira Pereira, Julio Mayol, Javier Crespo, Fernando Carballo, Juan B. Cabello, Manel Ramos-Casals, Bibiana P\'erez Corbacho, Juan Turnes, 20 Oct 2025, The Integration of Artificial Intelligence in Undergraduate Medical Education in Spain: Descriptive Analysis and International Perspectives, https://arxiv.org/abs/2510.17938
  • Lovis Heindrich, Falk Lieder, 21 Oct 2025, Discovering the curriculum with AI: A proof-of-concept demonstration with an intelligent tutoring system for teaching project selection, https://arxiv.org/abs/2406.04082
  • Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, Shane Legg, 24 Sep 2025, Levels of AGI for Operationalizing Progress on the Path to AGI, https://arxiv.org/abs/2311.02462
  • Mingyi Luo, Ruichen Zhang, Xiangwang Hou, Jun Du, Chunxiao Jiang, Yong Ren, Dusit Niyato, Shiwen Mao, 27 Sep 2025, Agentic AI Reasoning for Mobile Edge General Intelligence: Fundamentals, Approaches, and Directions, https://arxiv.org/abs/2509.23248
  • Johannes Zenkert, Christian Weber, Mubaris Nadeem, Lisa Bender, Madjid Fathi, Abu Shad Ahammed, Aniebiet Micheal Ezekiel, Roman Obermaisser, Maximilian Bradford, 29 Sep 2025, KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid, https://arxiv.org/abs/2509.24934
  • Yiquan Wang, Tin-Yeh Huang, Qingyun Gao, Jialin Zhang, 29 Sep 2025, HeDA: An Intelligent Agent System for Heatwave Risk Discovery through Automated Knowledge Graph Construction and Multi-layer Risk Propagation Analysis, https://arxiv.org/abs/2509.25112
  • Yang Lv, Jin Cao, Ben Niu, Zhe Sun, Fengwei Wang, Fenghua Li, Hui Li, 27 Sep 2025, DPFNAS: Differential Privacy-Enhanced Federated Neural Architecture Search for 6G Edge Intelligence, https://arxiv.org/abs/2509.23030
  • Jae-Bum Seo, Muhammad Salman, and Lismer Andres Caceres-Najarro, 29 Sep 2025, CURA: Size Isnt All You Need - A Compact Universal Architecture for On-Device Intelligence, https://arxiv.org/abs/2509.24601
  • Leszek Sliwko, 22 Sep 2025, Intelligent Load Balancing in Cloud Computer Systems, https://arxiv.org/abs/2509.22704
  • Chen Yizhe, Wang Qi, Hu Dongxiao, Jingzhe Fang, Liu Sichao, Zixin An, Hongliang Niu, Haoran Liu, Li Dong, Chuanfen Feng, Lan Dapeng, Liu Yu, Zhibo Pang, 27 Sep 2025, Liaohe-CobotMagic-PnP: an Imitation Learning Dataset of Intelligent Robot for Industrial Applications, https://arxiv.org/abs/2509.23111
  • Marc Bara, 29 Sep 2025, Moravec's Paradox and Restrepo's Model: Limits of AGI Automation in Growth, https://arxiv.org/abs/2509.24466
  • Kunyu Wu, Qiushi Zhao, Zihan Feng, Yunxi Mu, Hao Qin, Xinyu Zhang, and Xingqi Zhang, 29 Sep 2025, Intelligent Optimization of Wireless Access Point Deployment for Communication-Based Train Control Systems Using Deep Reinforcement Learning, https://arxiv.org/abs/2509.24819
  • Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez, and Syed A. Zaidi, 7 Sep 2025, Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks, https://arxiv.org/abs/2509.22668
  • Yue Yang, MingKang Chen, Qihua Liu, Mengkang Hu, Qiguang Chen, Gengrui Zhang, Shuyue Hu, Guangtao Zhai, Yu Qiao, Yu Wang, Wenqi Shao, Ping Luo, 28 Sep 2025, Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation, https://arxiv.org/abs/2506.02648
  • Michelle M. Li, Ben Y. Reis, Adam Rodman, Tianxi Cai, Noa Dagan, Ran D. Balicer, Joseph Loscalzo, Isaac S. Kohane, Marinka Zitnik, 29 Sep 2025, One Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence, https://arxiv.org/abs/2506.10157
  • Arun S. Maiya, 26 Sep 2025, OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit, https://arxiv.org/abs/2505.07672
  • Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Kl\'ar, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth, 27 Sep 2025, fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence, https://arxiv.org/abs/2407.01781
  • Marcus A. Thomas, 16 Oct 2025, Towards Error Centric Intelligence I, Beyond Observational Learning, https://arxiv.org/abs/2510.15128
  • Brett Reynolds, 17 Oct 2025, From Checklists to Clusters: A Homeostatic Account of AGI Evaluation, https://arxiv.org/abs/2510.15236
  • Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov, 16 Oct 2025, DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning, https://arxiv.org/abs/2510.15110
  • Pieris Panagi, Savvas Karatsiolis, Kyriacos Mosphilis, Nicholas Hadjisavvas, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis and Vassilis Vassiliades, 17 Oct 2025, Poultry Farm Intelligence: An Integrated Multi-Sensor AI Platform for Enhanced Welfare and Productivity, https://arxiv.org/abs/2510.15757
  • Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Zhenyun Deng, Debo Cheng, 5 Oct 2025, Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems, https://arxiv.org/abs/2510.04093
  • Mayank Ravishankara, Varindra V. Persad Maharaj, 5 Oct 2025, The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning, https://arxiv.org/abs/2510.04141
  • Edward Y. Chang, Ethan Y. Chang, 6 Oct 2025, Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning, https://arxiv.org/abs/2510.04488
  • G. Niklas Noren, Eva-Lisa Meldau, Johan Ellenius, 5 Oct 2025, Critical appraisal of artificial intelligence for rare-event recognition: principles and pharmacovigilance case studies, https://arxiv.org/abs/2510.04341
  • Yangyang Wang and Tayo Fabusuyi, 6 Oct 2025, MICROTRIPS: MICRO-geography TRavel Intelligence and Pattern Synthesis, https://arxiv.org/abs/2510.05080
  • Shucheng Zhang, Yan Shi, Bingzhang Wang, Yuang Zhang, Muhammad Monjurul Karim, Kehua Chen, Chenxi Liu, Mehrdad Nasri, Yinhai Wang, 30 Sep 2025, A Comprehensive Review on Artificial Intelligence Empowered Solutions for Enhancing Pedestrian and Cyclist Safety, https://arxiv.org/abs/2510.03314
  • Vivek Acharya, 1 Oct 2025, Intelligent Healthcare Ecosystems: Optimizing the Iron Triangle of Healthcare (Access, Cost, Quality), https://arxiv.org/abs/2510.03331
  • Xin Li, 4 Oct 2025, What is Intelligence? A Cycle Closure Perspective, https://arxiv.org/abs/2404.05484
  • Huiwen Liu, Feida Zhu, Ling Cheng, 6 Oct 2025, Proof-of-Data: A Consensus Protocol for Collaborative Intelligence, https://arxiv.org/abs/2501.02971
  • Haokai Ma, Javier Yong, Yunshan Ma, Kuei Chen, Anis Yusof, Zhenkai Liang, Ee-Chien Chang, 5 Oct 2025, AttackSeqBench: Benchmarking Large Language Models in Analyzing Attack Sequences within Cyber Threat Intelligence, https://arxiv.org/abs/2503.03170
  • Junchao Fan, Xiaolin Chang, 10 Oct 2025, Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach, https://arxiv.org/abs/2510.09041
  • Pengyu Xu, Shijia Li, Ao Sun, Feng Zhang, Yahan Li, Bo Wu, Zhanyu Ma, Jiguo Li, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Rui Wang, Yang Liu, Xiaobo Hu, Fan Yang, Jia Zheng, Guanghua Yao, 24 Oct 2025, OutboundEval: A Dual-Dimensional Benchmark for Expert-Level Intelligent Outbound Evaluation of Xbench's Professional-Aligned Series, https://arxiv.org/abs/2510.21244
  • Luoxiao Yang, Yun Wang, Xinqi Fan, Israel Cohen, Jingdong Chen, Zijun Zhang, 24 Oct 2025, ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence, https://arxiv.org/abs/2407.07311
  • Xinbang Dai, Huikang Hu, Yongrui Chen, Jiaqi Li, Rihui Jin, Yuyang Zhang, Xiaoguang Li, Lifeng Shang, Guilin Qi, 12 Oct 2025, ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding, https://arxiv.org/abs/2510.10549
  • Maryam Abdollahi Shamami, Babak Teimourpour, Farshad Sharifi, 8 Oct 2025, A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction, https://arxiv.org/abs/2510.09668
  • Junhao Xu, Hui Zeng, 11 Oct 2025, Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation, https://arxiv.org/abs/2510.10327
  • Ruian Tie, Xiaohui Zhong, Zhengyu Shi, Hao Li, Bin Chen, Jun Liu, Wu Libo, 12 Oct 2025, Generative artificial intelligence improves projections of climate extremes, https://arxiv.org/abs/2508.16396
  • Clotilde Bray\'e, Aur\'elien Bricout, Arnaud Gotlieb, Nadjib Lazaar, Quentin Vallet, 8 Oct 2025, Optimizing Ethical Risk Reduction for Medical Intelligent Systems with Constraint Programming, https://arxiv.org/abs/2510.07491
  • Yilun Zhang, Dexing Kong, 9 Oct 2025, Haibu Mathematical-Medical Intelligent Agent:Enhancing Large Language Model Reliability in Medical Tasks via Verifiable Reasoning Chains, https://arxiv.org/abs/2510.07748
  • Haolin Yang, Yuxing Long, Zhuoyuan Yu, Zihan Yang, Minghan Wang, Jiapeng Xu, Yihan Wang, Ziyan Yu, Wenzhe Cai, Lei Kang, Hao Dong, 9 Oct 2025, NavSpace: How Navigation Agents Follow Spatial Intelligence Instructions, https://arxiv.org/abs/2510.08173
  • Dongjie Wang, Chang-Tien Lu, Xinyue Ye, Tan Yigitcanlar, Yanjie Fu, 9 Oct 2025, Advancing Automated Urban Planning: Exploring Algorithmic Approaches with Generative Artificial Intelligence, https://arxiv.org/abs/2304.03892
  • Harikrishna Kuttivelil, Katia Obraczka, 8 Oct 2025, Chisme: Fully Decentralized Differentiated Deep Learning for IoT Intelligence, https://arxiv.org/abs/2505.09854
  • Songsong Yu, Yuxin Chen, Hao Ju, Lianjie Jia, Fuxi Zhang, Shaofei Huang, Yuhan Wu, Rundi Cui, Binghao Ran, Zaibin Zhang, Zhedong Zheng, Zhipeng Zhang, Yifan Wang, Lin Song, Lijun Wang, Yanwei Li, Ying Shan, Huchuan Lu, 23 Sep 2025, How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective, https://arxiv.org/abs/2509.18905
  • Luis Enriquez Alvarez, 22 Sep 2025, An Artificial Intelligence Value at Risk Approach: Metrics and Models, https://arxiv.org/abs/2509.18394
  • Isabelle Tingzon, Yoji Toriumi, Caroline Gevaert, 18 Sep 2025, AI-Derived Structural Building Intelligence for Urban Resilience: An Application in Saint Vincent and the Grenadines, https://arxiv.org/abs/2509.18182
  • Kyriakos Stylianopoulos and George C. Alexandropoulos, 23 Sep 2025, Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networks, https://arxiv.org/abs/2509.18906
  • Ahmad Fayaz-Bakhsh, Janice Tania, Syaheerah Lebai Lutfi, Abhinav K. Jha, Arman Rahmim, 14 Oct 2025, What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging, https://arxiv.org/abs/2510.13006
  • Andrew J. Medford, Todd N. Whittaker, Bjarne Kreitz, David W. Flaherty, John R. Kitchin, 21 Oct 2025, Prospects for Using Artificial Intelligence to Understand Intrinsic Kinetics of Heterogeneous Catalytic Reactions, https://arxiv.org/abs/2510.18911
  • Ernest Fokou\'e, 22 Oct 2025, No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence, https://arxiv.org/abs/2510.19212
  • Lukas Petersson, Axel Backlund, Axel Wennst\"om, Hanna Petersson, Callum Sharrock, Arash Dabiri, 24 Sep 2025, Blueprint-Bench: Comparing spatial intelligence of LLMs, agents and image models, https://arxiv.org/abs/2509.25229
  • Mubaris Nadeem, Johannes Zenkert, Christian Weber, Lisa Bender, Madjid Fathi, 30 Sep 2025, KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios, https://arxiv.org/abs/2509.25923
  • Vaishnavi Sharma, Rakesh Thakur, Shashwat Sharma, Kritika Panjanani, 27 Sep 2025, Artificial Intelligence-Powered Assessment Framework for Skill-Oriented Engineering Lab Education, https://arxiv.org/abs/2509.25258
  • Myung Ho Kim, 23 Sep 2025, Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study, https://arxiv.org/abs/2510.05107
  • Hanna Kreutzer, Anne-Sophie Caselitz, Thomas Dratsch, Daniel Pinto dos Santos, Christiane Kuhl, Daniel Truhn, Sven Nebelung, 7 Oct 2025, Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography, https://arxiv.org/abs/2510.05664
  • Petter Holme, Milena Tsvetkova, 7 Oct 2025, Artificially intelligent agents in the social and behavioral sciences: A history and outlook, https://arxiv.org/abs/2510.05743
  • Harshit Goyal, 30 Sep 2025, Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines, https://arxiv.org/abs/2510.05127
  • Gerd Kortemeyer, Alexander Caspar, Daria Horica, 4 Oct 2025, Artificial-Intelligence Grading Assistance for Handwritten Components of a Calculus Exam, https://arxiv.org/abs/2510.05162
  • Milad Moradi, Ke Yan, David Colwell, Rhona Asgari, 6 Oct 2025, Artificial intelligence for context-aware visual change detection in software test automation, https://arxiv.org/abs/2405.00874
  • Yiyang Ling, Karan Owalekar, Oluwatobiloba Adesanya, Erdem B{\i}y{\i}k, Daniel Seita, 6 Oct 2025, IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models, https://arxiv.org/abs/2503.10110
  • Alex Pierron, Michel Barbeau, Luca De Cicco, Jose Rubio-Hernan, Joaquin Garcia-Alfaro, 7 Oct 2025, A Fairness-Aware Strategy for B5G Physical-layer Security Leveraging Reconfigurable Intelligent Surfaces, https://arxiv.org/abs/2506.06344
  • Marco Simoni and Aleksandar Fontana and Andrea Saracino and Paolo Mori, 16 Oct 2025, TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence, https://arxiv.org/abs/2510.14670
  • Maria Lamprini A. Bartsioka, Anastasios Giannopoulos, Sotirios Spantideas, 16 Oct 2025, Intelligent Dynamic Handover via AI-assisted Signal Quality Prediction in 6G Multi-RAT Networks, https://arxiv.org/abs/2510.14832
  • Noorbakhsh Amiri Golilarz, Hassan S. Al Khatib, Shahram Rahimi, 9 Oct 2025, Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition, https://arxiv.org/abs/2510.13826
  • Siva Teja Kakileti, Bharath Govindaraju, Sudhakar Sampangi, Geetha Manjunath, 16 Oct 2025, A Density-Informed Multimodal Artificial Intelligence Framework for Improving Breast Cancer Detection Across All Breast Densities, https://arxiv.org/abs/2510.14340
  • Joseph E. Trujillo-Falcon, Monica L. Bozeman, Liam E. Llewellyn, Samuel T. Halvorson, Meryl Mizell, Stuti Deshpande, Bob Manning, Todd Fagin, 16 Oct 2025, From Binary to Bilingual: How the National Weather Service is Using Artificial Intelligence to Develop a Comprehensive Translation Program, https://arxiv.org/abs/2510.14369
  • Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon P{\l}otka, Jieneng Chen, Qi Chen, Zheren Zhu, Jakub Prz\k{a}do, Ibrahim E. Hamac{\i}, Sezgin Er, Yuhan Wang, Ashwin Kumar, Bjoern Menze, Jaros{\l}aw B. \'Cwik{\l}a, Yuyin Zhou, Akshay S. Chaudhari, Curtis P. Langlotz, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou, 16 Oct 2025, Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks, https://arxiv.org/abs/2510.14803

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