Machine Learning (ML) has expanded its capabilities beyond property prediction to facilitate the exploration, design, and creation of innovative materials across diverse applications and material ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Fatma-Elzahraa Eid, a senior machine learning scientist in Deverman's group, was the first author on the study. "This was a really unique approach," Deverman said.

The work was supported by the Air Force Office of Scientific Research, the Office of Naval Research, and the US National Science Foundation. Most approaches to machine learning-based inverse design ...

BigHat’s antibody design platform, Milliner™, integrates a synthetic biology-based high-speed wet lab with state-of-the-art machine learning technologies into a full-stack antibody discovery ...

Jul 18, 2025 Machine learning enables smarter, faster, cleaner catalyst design for sustainable energy Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to ...

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: “With the recent advances in hardware ...

Haiping Lu, Professor of Machine Learning at the University of Sheffield and the corresponding author of the study, said, "This work represents a significant step forward in using AI to design ...