Students of higher education institutions said the 5 Million Ethiopian Coders Program is equipping them with essential skills ...

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.

Colin Kaepernick still wakes up every morning and trains like a professional football player. The former quarterback hasn’t ...

Each December, millions of students around the world participate in the Hour of AI, a global initiative led by Code.org and ...

How do we keep family traditions alive? For some people, it's by speaking their heritage language, or learning how to cook family recipes. For Nicole Wong, it was through games — specifically, ...

A machine learning framework, equipped with a unitary Koopman structure, is designed to reconstruct Hamiltonian systems using either noise-perturbed or partially observational data. This framework can ...

The free software community has always thwarted the toughest challenges facing freedom in technology. This winter season, we want to thank the many individuals and projects that have helped us get ...

Abstract: Designing short Luby transformation (LT) codes with low overhead and good error performance is crucial and challenging for the deployment of vehicle-to ...

By Prince Acquah  Cape Coast, Dec. 17, GNA Professor Denis Worlanyo Aheto, Acting Vice-Chancellor of UCC, has recommended distance education as a credible learning mode with the same quality ...

December 17, 2025: We checked for any new Wuthering Waves codes and removed the expired livestream codes from our list We're huge fans of gacha games, and the available Wuthering Waves codes don't ...

Fourth graders participate in an introductory lesson on artificial intelligence during a computer applications class at Dr. Martin Luther King, Jr., School No. 6 in Passaic, N.J., on Oct. 14, 2025.

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...