Robust, deployable and collaborative machine learning (ML) methods are needed for AI to become truly useful. This ERC-funded research aims to solve a major ML bottleneck and will form a cornerstone of ...

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 ...

Fueled by healthcare’s data deluge, enthusiasm for machine learning and artificial intelligence is on the rise as providers recognize the need for automated and analytic tools for managing patients ...

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 ...

The finance industry has always been a data-driven field, relying heavily on numbers, charts, and patterns to make strategic decisions. However, in recent years, the scope of data analysis has ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...