By applying natural-language artificial intelligence techniques to analyze text fields in health records, researchers have developed an automated approach for classifying the severity of COVID-19 illness among pregnant people. The automated approach could accelerate the processing of surveillance records for pregnant patients, who are at higher…
Georgia Tech researchers have shown that robots about the size of a particle of dust are capable of precise bidirectional control. By harnessing the power of a magnetic field generated by only a single electromagnetic coil, the mobile micro-robots are the smallest of their type. “There are swimmer micro-robots that move in a fluid with similar…
In late 2020, Yakut Gazi, associate dean for Learning Systems at Georgia Tech Professional Education, ran into a problem. The collection of essays she edited with Dean Nelson Baker detailing pandemic-driven remote and online delivery of courses was ready for publication and distribution, but the funds didn’t exist to take it to market. The essays…
The Georgia Tech Research Institute (GTRI) is pleased to announce that our search for the new GTRI Deputy Director for Research for the Information and Cyber Sciences Directorate (ICSD) is complete. On April 18, William H. Robinson, Ph.D., will assume the role of ICSD Director and begin leading two of GTRI’s labs: the Information and…
In the age of Covid-19, the need for industries to adopt advanced technologies, incorporate more health and safety standards into their daily operations, and maintain a robust workforce is more important than ever. The Agricultural Technology Research Program (ATRP) at the Georgia Tech Research Institute (GTRI) is leading efforts to equip…
Analyzing the faint electromagnetic signals emitted by biomolecules could give researchers a faster and simpler way to predict how small molecules such as those found in medicines may bind with receptors within cellular membranes. Currently, this binding process is typically predicted using molecular dynamics simulations that require powerful…
AF2Complex: Researchers Leverage Deep Learning to Predict Physical Interactions of Protein Complexes
From the muscle fibers that move us to the enzymes that replicate our DNA, proteins are the molecular machinery that makes life possible. Protein function heavily depends on their three-dimensional structure, and researchers around the world have long endeavored to answer a seemingly simple inquiry to bridge function and form: if you know…
This news story was first published by Durham University. An unprecedented study looking at surface meltwater lakes around the East Antarctic Ice Sheet across a seven-year period has found that the area and volume of these lakes is highly variable year-to-year — and offers new insights into the potential impact of recent climatic change on…
What is your field of expertise and why did you choose it? I’m a senior research engineer at The Intelligent Sustainable Technologies Division (ISTD) at Georgia tech Research Institute (GTRI), where we develop innovative technology systems to enhance the productivity and competitiveness of Georgia’s agriculture and food processing industry. As a…
What if everyone in a neighborhood had a voice in redesigning it? How can city planners democratize future smart cities, big data analytics and decision-making by involving citizen participation? That’s the vision of the Tokyo Smart City Studio, using GPS and other location data to track trends in human behavior. The studio is part of the…
