Engineering Faculty Perceptions of Preparation for Industry 4.0, published in the journal Computers, sheds light on how this ...

I had thought problem sets were only for STEM courses, with the notable exception of economics. But despite my initial ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

A recent conversation with the senior associate director of AI and teaching and learning at Northeastern University yielded advice about engaging students, upgrading lessons, trial and error, and ...

Governmental Procurement of AI is vulnerable to Arrow's information paradox. The standoff between Pentagon and Anthropic ...

This article is a collaboration between New York Magazine and The Verge. The LinkedIn post seemed like yet another scam job offer, but Katya was desperate enough to click. After college, she’d ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

It’s getting tougher to assess how much university students have learnt. In his work as a Mathematical Statistics lecturer, Michael von Maltitz has tried a new way of getting students to learn, and of ...

Designers this season grappled with what technology and AI’s influence on creativity is, as discourse on where AI belongs in art created noise.

San Antonio's defense swarmed and stifled Cade Cunningham in a pair of wins. Can Detroit learn from it in time for the ...

As a leader, the culture you think you have and the one your team is actually living can be dangerously far apart.