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Identifying Differences in Disease-causing Genomes Just Went from a Few Days to a Few Hours
CSE Ph.D. Chirag Jain developed the first multi-core parallel algorithm that is capable of aligning a DNA sequence to a complex genome graph.
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College of Computing Faculty Showcase Parallel Computing Research While Leading Conference Programming at IPDPS 2019
Researchers from College of Computing head to Brazil to present parallel distributed research at IPDPS 2019.
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Georgia Tech Receives $449,000 NSF Grant to Create ‘Adaptive Fingerprints’ for Materials Using Machine Learning
Song and Ramprasad team up to receive grant from the National Science Foundation to further explore combining machine learning techniques and materials science.
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Advancing Learning Representations at ICLR: ML@GT Presents 12 Papers at Premier AI Conference
Researchers from the Machine Learning Center at Georgia Tech will present 12 papers at International Conference on Learning Representations (ICLR), a premier artificial intelligence conference.
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Demo Day Shows the Future of Cybersecurity is in Machine Learning
An SCS team won Demo Day.
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Cleaning Up Those Messy Notebooks Just got A Lot Easier
CSE Ph.D. student Fred Hohman co-authors CHI 2019 Best Paper Award Winner on cleaning up computational notebooks.
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Meet CSE: Xiaojing An Explores the Boundaries of the Outdoors and of Graphs
A Q&A with CSE Ph.D. Student Xiaojing An.
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CHI 2019: Georgia Tech Research Integrates Human Capabilities with Machine Advances for Positive Impact in Society
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South Big Data Hub Recognized for Expanding Georgia Tech Research Portfolio and Platform
Georgia Tech’s Office of the Executive Vice President for Research (EVPR) awarded the South Big Data Regional Innovation Hub (SBDH) the Outstanding Achievement in Research Program Development Award for 2019.
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Understanding How Data Scientists Understand Machine Learning Models
CSE Ph.D. Student Fred Hohman releases his latest software, Gamut, that aims to help data scientists understand machine learning outputs.
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