AI-powered communities bring new challenges and opportunities for the well-being of humans.
At MATRIX, we share a common vision to solve these challenges by fostering transdisciplinary teams that span academia, government, industry, and healthcare ecosystems to make tangible differences for human well-being. Emphasis will be laid on diversifying the profession by cultivating a highly competent and inclusive AI workforce.
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How can AI technologies lead to innovations and efficiencies in domains where intelligent systems or robots collaborate in future workplaces?Learn More
How can we advance machine learning algorithms for deployment at scale across various domains of interest?Learn More
To design AI algorithms and architectures that assimilate generalizable intelligence, we hypothesize that neural processes serve as an ideal model.Learn More
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MATRIX Spring Seminar Series – Dr. Pradeep Ravikumar
Graceful Statistical Machine Learning Dr. Pradeep Ravikumar Machine Learning Department, School of Computer Science, Carnegie Mellon University February 5, 2021, 11 AM – Noon CST https://utsa.zoom.us/j/95415829530 Modern statistical machine learning […]More Information