Georgia Tech's leading artificial intelligence event will bring together experts, researchers, industry professionals, policymakers, and students to explore the latest advancements and applications of AI.
Using a simple setup and advanced processing, engineers can reliably detect physiological signals such as temperature, breathing, and pulse. The technology could open new possibilities for early disease detection.
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.
David Myers' hands-on microfluidics course lets students build sticker-based devices, enhancing understanding of miniaturization science through active learning.
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.
