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, ...

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

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

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

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.

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

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

For the end user, this update is seamless: Claude Code simply feels "smarter" and retains more memory of the conversation.

The hire signals that Airbnb knows it’s behind. What it doesn’t solve is the structural constraint the company has been ...