OpenClaw RL introduces an asynchronous reinforcement learning framework that trains agents from live conversations, tool ...

Researchers from BUPT and CUHK-SZ propose FedSIN to tackle heterogeneity and dynamic contributions in non-Euclidean federated ...

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

Reinforcement Learning (RL) has rapidly emerged as a powerful approach for enabling robots to acquire adaptive, data-driven behaviors in real-world ...

However, a new study finds that one of the most critical challenges facing these systems is not performance or accuracy alone ...

By now, nearly every aspect of the war — strategic interests, failures and the costly regional fallout — has been analysed at ...

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...

Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.

Deccan AI concentrates its workforce in India to manage quality in a fast-growing but fragmented AI training market.

Smack Technologies just secured $32M to build a frontier AI lab for the U.S. military. See how they plan to achieve Decision ...

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...

The conversation around enterprise AI is changing quickly, but not always in the direction people expect. The hype cycle ...