Artificial Intelligence
Artificial intelligence (AI) research focuses on creating systems capable of performing tasks that typically require human intelligence, with current efforts concentrating on improving model alignment with human values, enhancing transparency and accountability in AI systems, and mitigating risks associated with bias and malicious use. Prominent approaches involve large language models (LLMs), deep learning architectures like nnU-Net, and reinforcement learning techniques, often applied within specific domains such as healthcare, cybersecurity, and scientific research. The widespread adoption of AI across diverse fields necessitates rigorous investigation into its ethical implications, safety, and societal impact, driving ongoing research to develop more robust, reliable, and responsible AI systems.
Papers
A Unified Platform for At-Home Post-Stroke Rehabilitation Enabled by Wearable Technologies and Artificial Intelligence
Chenyu Tang, Ruizhi Zhang, Shuo Gao, Zihe Zhao, Zibo Zhang, Jiaqi Wang, Cong Li, Junliang Chen, Yanning Dai, Shengbo Wang, Ruoyu Juan, Qiaoying Li, Ruimou Xie, Xuhang Chen, Xinkai Zhou, Yunjia Xia, Jianan Chen, Fanghao Lu, Xin Li, Ninglli Wang, Peter Smielewski, Yu Pan, Hubin Zhao, Luigi G. Occhipinti
Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Majid Ghasemi, Amir Hossein Mousavi, Dariush Ebrahimi
Methods to Assess the UK Government's Current Role as a Data Provider for AI
Neil Majithia, Elena Simperl
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
Minhyeok Lee
Abductive Symbolic Solver on Abstraction and Reasoning Corpus
Mintaek Lim, Seokki Lee, Liyew Woletemaryam Abitew, Sundong Kim
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?
Jérémie Sublime
Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?
Renshuai Tao, Haoyu Wang, Yuzhe Guo, Hairong Chen, Li Zhang, Xianglong Liu, Yunchao Wei, Yao Zhao
Visual Error Patterns in Multi-Modal AI: A Statistical Approach
Ching-Yi Wang
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science
Yutong Xie, Yijun Pan, Hua Xu, Qiaozhu Mei
Making History Readable
Bipasha Banerjee, Jennifer Goyne, William A. Ingram
Can artificial intelligence predict clinical trial outcomes?
Shuyi Jin, Lu Chen, Hongru Ding, Meijie Wang, Lun Yu
SoK: Decentralized AI (DeAI)
Zhipeng Wang, Rui Sun, Elizabeth Lui, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt
Digital Democracy in the Age of Artificial Intelligence
Claudio Novelli, Giulia Sandri
Creative Agents: Simulating the Systems Model of Creativity with Generative Agents
Naomi Imasato, Kazuki Miyazawa, Takayuki Nagai, Takato Horii
The Partially Observable Off-Switch Game
Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell, Scott Emmons
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence
Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Zhou, Shuguang Cui, Rick Siow Mong Goh, Yong Liu, Zhen Li
Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring
Kathrin Seßler, Maurice Fürstenberg, Babette Bühler, Enkelejda Kasneci
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
Sotiris Pelekis, Evangelos Karakolis, George Lampropoulos, Spiros Mouzakitis, Ourania Markaki, Christos Ntanos, Dimitris Askounis
The brain versus AI: World-model-based versatile circuit computation underlying diverse functions in the neocortex and cerebellum
Shogo Ohmae, Keiko Ohmae