AI
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.
Are AI Models Working Harder Than They Need to?
AI Models Get Brain Rot, Too
A new study from the University of Texas at Austin, Texas A&M, and Purdue University shows that large language models fed a diet of popular but low-quality social media content experience a kind of “brain rot” that may be familiar to anyone who has spent too long doomscrolling on X or TikTok.
New AI Breakthroughs Bring 3D Imaging to the Patient's Bedside
AI Tutor Helps First-Year Engineering Students
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.