VentureBeat

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
University of Texas at San Antonio

RCSG TRAINING

The Research Computing Support Group (RCSG) at UT San Antonio offers specialized training sessions to support researchers with their computational needs. These training sessions cover high-performance ...
Phys.org

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
CU Boulder News & Events

CSCA 5322: Deep Learning for Computer Vision

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...