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.
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 ...
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 ...
The existing U.S. nuclear power fleet could deliver nine reactors' worth of added capacity. EPRI experts explain how—and what comes next.
AI didn’t kill copywriting. It killed low-grade informational SEO. Persuasion, positioning, and clarity now matter more than ...
Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.
They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...
Floating Fleet AI, a leading provider of AI-driven solutions for private aviation, today announced the addition of Norbert ...
AI targeting, creative scale, and MMM promised efficiency but often delivered waste. Here’s how to reset PPC priorities for ...
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