Machine Learning and Artificial Intelligence Course Tackles Big Tech Privacy Concerns

Geared toward mathematics, statistics and computer science graduate students, MAT 280: “Fairness, Privacy and Trustworthiness in Machine Learning” aims to elevate tenets of social responsibility when it comes to developing machine learning and artificial intelligence-based systems. The special topics class focuses on the mathematical concepts underlying machine learning and how these concepts can be used for the better.

NSF Grant Will Fund Food and Tech Study

Technological innovation is transforming agriculture and a UC study funded by a $492,000 grant from the National Science Foundation will explore the booming connections between new technologies, agriculture and food. Charlotte Biltekoff, associate professor and chair of the UC Davis College of Letters and Science’s American studies program, is part of the multi-campus study team.

Measuring the Human Heart Through Art and Science

That Jiayi Young mines scientific resources in her artwork should not come as a surprise. After all, the assistant professor of design has a master’s degree in atomic physics as well as a master of fine arts degree.