Inevitable missing values in observational time series often hinder reliable data-driven modeling of complex systems across diverse domains. Recovery is essential yet challenging, particularly in high ...

The Institute for Data Engineering and Science (IDEaS) at Georgia Tech in collaboration with Amazon Web Services has launched ...

Computer vision and deep learning are increasingly applied to large-scale visual data across scientific, industrial, environmental, and medical domains.

Americans can meet this new challenge as we always have, leveraging our embrace of the free-market, entrepreneurial spirit, ...

Researchers are expanding science on Black girls by treating them as knowledge producers, not just subjects of study. Emerging methods help researchers gather richer data that challenge long-held ...

At ARDD 2026, senior FDA officials sketch how a therapy targeting aging might one day reach approval, revealing that longevity is a priority.

Sometimes the boldest ideas start small — in this case, roughly the size of a kitchen appliance. Google just put a ...

Georgia Tech's ETHOS initiative brings together expertise from across the Institute to advance human-centered research models ...

With a new book from the late primatologist Frans de Waal and a deep dive into artificial intelligence from New York Times ...

Building and Environment Visualization Lab seeks to shape a healthier, lower-carbon and more resilient planet for future ...

The Faculty of Arts and Sciences’ science departments are launching at least five artificial intelligence-related faculty ...

A five-year analysis of 110,000-plus manuscripts finds prestige, topic, geography, and team size shaped who got published at ...