A UC Davis theoretical physicist studying the quantum nature of matter and a mathematician investigating the complexity of large datasets are the recipients of grants totaling more than $1.2 million from the National Science Foundation’s Faculty Early Career Development Program.
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.
Veterinarians and researchers at the UC Davis School of Veterinary Medicine and the Center for Data Science and Artificial Intelligence Research — led by professor of mathematics Thomas Strohmer — have discovered a technique to predict leptospirosis in dogs through the use of artificial intelligence.
Three researchers from UC Davis have been awarded a total $1.2 million grant over four years from the National Institutes of Health (NIH) to generate high-quality synthetic data using artificial intelligence and machine learning that may potentially help physicians predict, diagnose and treat diseases.
The UC Davis Center for Quantum Mathematics and Physics, or QMAP, finally has its permanent home on the two upper floors of the Physical Sciences and Engineering Library.
UC Davis will debut its new interdisciplinary data science major in fall 2022, providing a career pathway for undergraduates who plan to become leaders in this cutting-edge field.
A new institute at UC Davis will advance the fundamentals of data science and prepare students to solve data analysis and machine learning problems in diverse fields.
The University of California, Davis, is investing $4 million over three years to launch four new research centers that align campus strengths with unique opportunities for global impact. Two of the four centers are led by faculty in the College of Letters and Science.
Mining, organizing, interpreting, and analyzing data presents challenges for researchers of every stripe. Interdisciplinary and multifaceted, the UC Davis Data Science Initiative is here to help.
Pamela Reynolds, academic coordinator at Data Science Initiative (DSI), describes data science as “an integrative, multidisciplinary field translating data into knowledge.”
