Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean.
Led by School of Earth and Atmospheric Sciences Professor Greg Huey, the NSF RAPID grant is for analyzing air chemistry data collected during a three-week span when a chemical plume impacted the Atlanta area.
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.
Jean Lynch-Stieglitz has earned a new fellowship with the National Academies of Sciences, Engineering, and Medicine to build STEM expertise in the State Department and the U.S. Agency for International Development.
