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Could This Memory Tech Reduce AI’s Energy Demands?

Texas Engineers teamed up with the world’s largest semiconductor foundry to fabricate and test an emerging memory technology that could help deal with the increasing energy demand of artificial intelligence.

Together with Taiwan Semiconductor Manufacturing Company (TSMC), researchers tested SOT-MRAM, a type of memory that can retain information even when power is off. It uses magnetic properties, making it faster while also consuming less energy than other memory technologies.

AI in the GI

The odds of getting colorectal cancer in America are 1 in 25 for women and 1 in 23 for men. Polyps, which are precursors to cancer, can be found and removed with colonoscopies — 15 million of which are performed in the U.S. annually. Colonoscopies are also critical to the diagnosis of Crohn’s disease, ulcerative colitis, and other colon and rectal diseases.

New Texas Center Will Create Generative AI Computing Cluster Among Largest of Its Kind

UT is launching the Center for Generative AI, powered by a new GPU computing cluster, among the largest in academia. The cluster will comprise 600 NVIDIA H100s GPUs — short for graphics processing units, specialized devices to enable rapid mathematical computations, making them ideal for training AI models.
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