Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

This study adopted a systematic review approach to identify, analyse, and synthesise empirical evidence on the effects of ICT-focused professional development (PD) on teaching practices and student ...

At Texas A&M University, experimental particle physicist Dr. Rupak Mahapatra spends his days chasing some of the faintest ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems ...

Large language models have grown so vast and complex that even the people who build them no longer fully understand how they work. A single modern ...

For 21 years, between 1999 and 2020, millions of people worldwide loaned UC Berkeley scientists their computers to search for ...

In the rapidly evolving world of Large Language Models (LLMs), a quiet but critical tug-of-war is taking place over how we ...

Chemical biology increasingly benefits from the close integration of experimental structural techniques and computational ...

A new initiative at the Allard School of Law addresses ethical, regulatory and technological challenges to protect the public ...

Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...

We asked 11 academic experts to share the book that challenged their assumptions and changed their thinking in a lasting way.