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.
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.
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.
David Myers' hands-on microfluidics course lets students build sticker-based devices, enhancing understanding of miniaturization science through active learning.
Paid family leave programs not only reduce infant maltreatment, they may have also have a fiscal benefit: reducing the need for spending on child protective services, according to new Georgia Tech research.
With a flexible, no-equipment-needed platform, ChBE researchers are creating a new way to test for disease at home or anywhere medical resources are limited.
