Department of Computer Science - University of Texas at Austin

Adaptive Anatomy: 3D Models That Fit Every Form

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

New machine-learning models capture the rapid evolution of antimicrobial resistance

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Tech Xplore

AI gets a private tutor for learning human preferences more accurately

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
IEEE

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review

Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...
IEEE

Integrating Deep Learning and Data Science: Challenges, Opportunities and Implications

Abstract: Deep gaining knowledge of and records science are the most important and surprisingly influential fields of technology. Deep studying can system extensive statistics to discover styles, ...