Professors point to cheating, poor math skills, and over-reliance on A.I. The number of University of California Berkeley students who failed a computer science course this past spring semester was ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

What is collectively needed, both companies maintain, are more efficient, safer, and scalable approaches to cell engineering.

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models and agents. We’ve all heard the mantra from the quants in the business ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

Tutoring consists of ongoing individualized and small group sessions for students seeking support related to their coursework. You can utilize tutoring to discuss course related content, clarify and ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...