FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...

Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.

The modern enterprise software landscape demands professionals who can seamlessly navigate the complexities of full-stack ...

Pankaj Vyas: India has evolved from a cost-arbitrage base to a hub that offers capability at scale, making it a preferred R&D ...

The existing U.S. nuclear power fleet could deliver nine reactors' worth of added capacity. EPRI experts explain how—and what ...

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

Floating Fleet AI, a leading provider of AI-driven solutions for private aviation, today announced the addition of Norbert ...

As chip manufacturing scales up, water supply and wastewater treatment systems are under immense pressure. Cutting-edge ...

AI targeting, creative scale, and MMM promised efficiency but often delivered waste. Here’s how to reset PPC priorities for ...