In the age of artificial intelligence, sustainable capability grows through continuous learning ecosystems rather than isolated training events.

To thrive in the age of AI, organizations need to make learning a core capability, enabling people, and technologies to ...

Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what learning is all about: thinking for themselves. Machine learning expert Jakub ...

People use their bodies—not just their brains—to think. So the MIT Project on Embodied Education brings movement to the ...

Health systems across the country are well past the pilot stage and deploying AI across clinical, operational and financial functions. CommonSpirit Health (Chicago) has approximately 250 active AI ...

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...

MIT researchers used a Battleship-style test to show how smaller AI models can improve by asking sharper questions, potentially making cheaper AI agents more useful without relying on bigger ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

There’s been a lot of coverage of the technology company Palantir recently and its role in providing tools to facilitate the violence, lawlessness, and human rights violations of President Trump’s war ...

As generative AI becomes more advanced and accessible, it’s helpful to revise assignments in ways that deter unauthorized use while promoting genuine learning. Here are detailed strategies for ...

Objectives Active learning strategies, including case-based learning (CBL), problem-based learning (PBL) and team-based ...