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, ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

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

A less visible dependency is emerging as a critical constraint of AI infrastructure: the resilience of the data and storage ...

The "4U Rack-based CDUs Market - Global Forecast 2026-2032" report has been added to ResearchAndMarkets.com's offering.

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

By 2030, surveyed executives anticipate AI spend to shift from efficiency to innovation AI productivity gains projected to ...

The TRIPP framework explicitly affirms Armenia’s sovereignty, territorial integrity, jurisdiction, border control, customs ...

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

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

According to the research, AIoT enables continuous environmental monitoring at a scale and speed that was previously ...