Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites
The feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more
Poor and Disadvantaged People Sit in the Dark Longer After a Storm Outage
The research shows that people in lower socioeconomic tiers wait nearly three hours longer on average for their power to be restored.
Georgia Tech to Help Develop State’s First Climate Action Plan
The emissions tracker created by a Georgia Tech-led team will play an important role in the work, researchers say.
Study Reveals Wintertime Formation of Large Pollution Particles in China’s Skies
School of Earth and Atmospheric Sciences researchers find dangerous sulfates are formed, and their particles get bigger, within the plumes of pollution belching from coal-fired power plants.
Digging Into Greenland Ice: Unraveling Mysteries in Earth's Harshest Environments
Rachel Moore spent nearly 50 days in one of the most remote places on Earth, collecting ice cores; the research has implications for climate change predictions and searching for signs of life on icy worlds.
Janelle Dunlap Turns Beekeeping Into Art
The Urban Honey Bee Project’s new beekeeper in residence is creating art and educating the public with her practice.
Jim Sowell Talks About Watching Annular Eclipse
Jim Sowell talks about Georgia Tech's observatory, what can be learned from an eclipse, and why you should watch for it wherever you are.
Long-Term Lizard Study Challenges the Rules of Evolutionary Biology
By lassoing lizards, putting tiny chips on their legs, and tracking them for three years, Georgia Tech’s James Stroud revealed why species often appear unchanged for millions of years despite Charles Darwin’s theory of constant evolution.
Machine Learning Key to Proposed App that Could Help Flood-prone Communities
A School of Computational Science and Engineering faculty member is co-leading a $1.5M National Science Foundation grant to mitigate flood risks.
Machine Learning Key to Proposed App that Could Help Flood-prone Communities
School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.