每天自动聚合 AI 领域最新动态
Large language models (LLMs) are expanding from assisting scientific research and engineering to autonomously develop...
Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications,...
Mixture-of-experts (MoE) models have become an important approach for scaling model parameters. Modern MoE architectu...
Generative simulation can automate robot environment construction, but physically valid environments are not necessar...
Predicting how the world responds to an action requires more than what can be seen: robots must account for environme...
Significant efforts are currently being directed toward the implementation of large-scale quantum information process...
Personalization is essential for general-purpose robots to transition into household environments and achieve true pr...
Post-route power recovery changes cell choices under tightly coupled timing, electrical and physical constraints, and...
Training-free diffusion-based compression methods repurpose the generative priors of a diffusion or a flow model to c...
Cowork agents navigate dependencies across tools and files while adapting to changing user requirements and edits to ...
Vision-language-action (VLA) models transfer semantic knowledge acquired through vision-language pretraining to robot...
Spatial intelligence lets an agent perceive and act in the physical world, and many of its judgments must be made at ...