Artificial Intelligence Research
Artificial intelligence (AI) research aims to create intelligent agents capable of complex tasks, currently focusing on improving reasoning, planning, and multimodal capabilities. This involves developing and refining model architectures like Large Language Models (LLMs) and Large Reasoning Models (LRMs), often employing techniques such as instruction tuning and reinforcement learning. The field's significance lies in its potential to revolutionize various sectors, from healthcare and gaming to autonomous systems and scientific discovery, while simultaneously raising crucial ethical and societal considerations regarding safety, fairness, and reproducibility.
Papers
MetaUrban: A Simulation Platform for Embodied AI in Urban Spaces
Wayne Wu, Honglin He, Yiran Wang, Chenda Duan, Jack He, Zhizheng Liu, Quanyi Li, Bolei Zhou
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
Alex Oesterling, Usha Bhalla, Suresh Venkatasubramanian, Himabindu Lakkaraju
Robustness of Decentralised Learning to Nodes and Data Disruption
Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio, Andrea Passarella, Marco Conti, János Kertész
AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
Riley Simmons-Edler, Ryan Badman, Shayne Longpre, Kanaka Rajan