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.

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

Capital constraints force leaders to view growth as a trade-off rather than an obligation. Instead of asking how quickly the ...

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, ...

NextNRG's mobile fuel delivery drives strong revenue growth, yet gross margins remain low. Read why I view NXXT as a ...

City leaders in Ashland are grappling with the state of aging city-owned buildings and the challenges of addressing their ...

Capitolis, the financial technology company, today announced record-breaking performance in 2025 across its Portfolio ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

CHENGDU, SICHUAN, CHINA, January 14, 2026 /EINPresswire.com/ -- When global manufacturers and logistics operators ...

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

Agentic AI is arriving faster than governance, faster than marketing and, in many ways, faster than our language. Here's what ...

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