Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.
Through a new review paper published in Nature, Georgia Tech scientists are revealing how decades-long research programs have transformed our understanding of evolution, uncovering secrets that would remain hidden in shorter studies.
A new study explores how complex chemical mixtures change under shifting environmental conditions, shedding light on the prebiotic processes that may have led to life on Earth.
CEE researchers’ analysis outlines path to a U.S. construction market for hemp-based fibers, which are already used for clothing and biodegradable plastics.
College of Computing Professors Michael Bailey, Dana Randall, and Thad Starner are among 55 Fellows named by ACM, the Association for Computing Machinery.
A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists might play.
