News

Working Towards Explainable and Data-efficient Machine Learning Models via Symbolic Reasoning

New Professor Uses Networks to Connect the Dots for Social Good

Associate Professor Aditya Prakash joins the School of Computational Science and Engineering and discusses his timely research in infectious disease analysis and networks.

Machine Learning Tool May Help Us Better Understand RNA Viruses

Georgia Tech researchers have created an end-to-end deep learning algorithm that is able to more effectively and quickly sequence RNA secondary structures.

Improving the Safety and Well-being on the Web and in Society

CSE welcomes new Assistant Professor Srijan Kumar.

Meet CSE: Ph.D. Student David Betancourt is Designing AI to Help Us Monitor the Real and Surreal World

CSE Ph.D. Student David Betancourt provides an intriguing Q&A about his life as a machine learning scientist and lover of the arts.

Accenture to Bring Their Tech Symposium to the Machine Learning Center at Georgia Tech

Mark Borodovsky, Regents’ Professor at the Wallace H. Coulter Department of Biomedical Engineering and School of Computational Science and Engineering, was distinguished for his influential research in developing algorithms of genome analysis as well as h

Mark Borodovsky Elected as ISCB Fellow

The Fellows program of ISCB (International Society for Computational Biology) was created to honor members who have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics.