Tag
Biohub, the U.S. Department of Energy, NIH, Google DeepMind, Isomorphic Labs, and Meta announced a $1.8 billion expansion of the Virtual Biology Initiative to generate open, AI-ready biological datasets for building predictive models of biology and accelerating disease research.
PhysicsBench introduces a unified benchmark and leaderboard to standardize the evaluation of generative and predictive AI models for engineering design and simulation across multiple tasks and data scales.
This paper proposes a framework for world models in reinforcement learning by distinguishing between environment, agent, and joint system channels, using computational mechanics to define canonical predictive models and analyzing their complexity under coupling.
This survey provides a comprehensive overview of World Action Models (WAMs), predictive-action systems that generate future states for decision-making, and organizes existing works by their required outputs and design choices.
Khaos Brain is a new product providing local predictive memory capabilities specifically designed for AI agents. Launched on Product Hunt, it aims to enhance agent autonomy and context retention through on-device processing.