A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

I was a moderator for the TikTok platform for over a year. I won't give away any secrets or inside information, but I will ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.