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

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Together with the development of Artificial Intelligence (AI) and Machine Learning (ML), the demand for AI and ML specialists is growing rapidly in Poland, Euro ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

PhD graduates in analytical sciences can leverage transferable skills for careers in regulation, publishing, and startups, beyond traditional academia and R&D. Women in chromatography emphasize the ...

In the vast expanse of our universe, one question has captivated humanity for generations: are we alone? This profound inquiry has driven scientific exploration for decades, but recent technological ...

Alex Yang details founding an AI startup with other high schoolers worldwide to improve Alzheimer's diagnostics.

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Connecting The Dots works to improve how science and mathematics are taught in schools. It emphasises experiential learning, ...

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?