To renew architecture’s relevance by restoring its social mission, William Ward posits that we must first reform our model of ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

The growing integration of blended learning in mathematics education is transforming traditional instructional practices and ...

AI tutors are often held up as an ideal, but prioritizing individualized teaching can detract from the benefits of learning in social environments.

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

The Earth's oceans, covering over 70% of the planet's surface, represent a vast frontier for scientific discovery and resource utilization, yet remain ...

When Glushko earned his doctoral degree from UC San Diego in 1979, his thesis committee included David Rumelhart, Don Norman, ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

If we want professional learning that serves educators and the students they teach, we must move beyond seat time and toward ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...