Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...

Machine-learning–guided screening identified a structurally novel NK1 receptor antagonist that reduced depressive-like ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

Engineered enzymes are poised to have transformative impacts across applications in energy, materials, biotechnology, and medicine. Recently, machine learning has emerged as a useful tool for enzyme ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...