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

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology.

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

At Mobile World Congress 2026, Keysight Technologies will demonstrate how it is accelerating the future of connected intelligence with agentic AI and ...

The lab, currently in the planning and procurement phase, will be located on the third floor of the CAPPA building. It is ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...

AI-driven autonomous laboratory that designs, executes, and learns from experiments in closed-loop cycles, accelerating ...

At Northeast Community College’s latest board of governors meeting, new programs were proposed for Northeast’s fall 2026 catalog.