Cadence Design Systems unveiled Maestro, a portfolio of AI models specialized for chip design processes that chipmakers can run in-house. The models are post-trained on customers' own design experiences and diverge from rival Synopsys' recent approach.
Researchers from UC Berkeley have released CUA-Lite, an open platform that unifies sandboxes, data, evaluation, and reinforcement learning for computer-use agents. The platform takes an infrastructural rather than model-centric approach to training and benchmarking these agents.
Researchers have developed a reinforcement learning-based approach that steers generative machine learning to design novel functional materials, addressing limitations in existing crystal discovery methods that struggled to explore candidates that are both novel and useful.
Richard Sutton, 2024 Turing Award winner and reinforcement learning pioneer, has founded Oak Lab in Toronto after departing from John Carmack's Keen Technologies. The startup aims to build AI agents that learn continuously from their environment, challenging what Sutton calls the 'weak and inefficient' methods of current deep learning.
