verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

Strategic Investments and R&D Fuel the Next Wave of Growth in Neuromorphic ComputingDublin, April 18, 2025 (GLOBE NEWSWIRE) -- The Neuromo ...

The paper's author, Ashish Reddy Kumbham, presents an innovative system that moves beyond traditional defense mechanisms. In ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

The collaboration unlocks advanced simulation tools, real-time edge computing, and reinforcement learning to significantly ...

ORLANDO, FL, UNITED STATES, April 15, 2025 /EINPresswire.com/ -- Thor Dynamics, a leading developer of directed energy systems, today announced a major upgrade to its flagship product, Laser Armor™, ...

Two projects looking to develop ways of safely deploying artificial intelligence are being led by University of Oxford researchers.