Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.
source https://www.sciencedaily.com/releases/2026/03/260303145714.htm
Significant grade inflation may be occurring in graduate education,
according to decades' worth of data
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Analysis of two decades of student data at a large U.S. university suggests
that grade inflation exists in graduate education. Researcher Vivien Lee
and co...
14 hours ago
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