The Embedded Machine Intelligence Lab at ASU is integrating AI into wearable technology to both personalize and assist in the monitoring of users' health and safety.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Binesh Sadanandan ’27 Ph.D., has been working in the healthcare industry for more than 15 years. The opportunities he has as a student in the University’s Secure and Assured Intelligent Learning (SAIL ...

Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...

UMass Chan Medical School and MITRE announced plans to open an assurance lab to test healthcare artificial intelligence technologies. The new R&D center will be located at the Mass Chan Medical School ...

The Machine Learning Lab matching event will take place on Friday, Oct. 17 and is an opportunity for faculty and researchers seeking machine learning expertise to connect with undergraduate and master ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

The National Science Foundation has selected UT Austin to lead the NSF AI Institute for Foundations of Machine Learning. The NSF AI Institute for Foundations of Machine Learning and the Machine ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.