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
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