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.

As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...

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

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

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

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

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

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

Generative design helps engineers explore design, delivering 30-50% faster time-to-market, 10-50% weight reductions, and up ...

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