Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Repeated environmental changes can lead evolution in unexpected directions, and research from Vermont shows that studying a single population does not capture the full story of an entire species. All ...

At the British School of Bucharest (BSB), learning extends beyond desks, textbooks and examinations into a broader ...

Overview: Data science continues to influence how companies build products, understand users, and make strategic decisions.In ...

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Professor Watson announces the opening of enrollment for the next session of Ethics in the Workplace, a specialized course ...

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...

What Are Non-Human Identities, and Why Do They Matter? Have you ever considered the hidden facets of machine identities that silently power our digital infrastructure? Non-Human Identities (NHIs) are ...

Stikeleather’s passion for the cause grew from a journey that began as a special education teacher in her native Philippines ...