Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic and scale across tasks without constant human engineering.

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...

Meta and AWS have announced a new partnership to run AI workloads on Graviton chips, improving efficiency for Llama models ...

This study is led by Prof. Wenshun Wang and Ph.D. Min Tao (School of Mechanics and Civil Engineering, China University of Mining and Technology). This research gproup, for the first time, develops and ...