A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...

Machine learning projects can succeed or fail based on a single, seemingly simple factor: data quality. Data scientists and engineers have recognized -- often through hard-won lessons -- that this ...

Investing in applied machine learning without understanding the underlying foundations is like investing in healthcare without understanding biology. Foundational research has had a tremendous impact ...

Renewal of National Science Foundation AI support will boldly extend research and workforce development efforts. The Gates-Dell Complex at UT Austin, home to the NSF AI Institute for Foundations of ...

Offered: Winter (TTh 9:30-10:50 a.m.) and Spring (TTh 12:30-1:50 p.m.) Foundations of Data Science will cover the fundamentals of data science and the context within which this field operates. This ...

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 ...

This meeting brought together members of the NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL) and researchers working on related topics. The ...

While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid rate. Apart from online tutorials and learning ...

We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established scientific ...