Computational Neuroscience researchers at Georgia Tech The human brain, composed of about 86 billion noisy neurons, is a reliable, durable, complex, and cryptic biological supercomputer. A community of multidisciplinary researchers at Georgia Tech is decrypting that neuronal chatter, which may hold the key to better treatments for disease and addiction, advanced robotics and artificial intelligence… Continue reading Digging Deep into Computational Neuroscience →

KDD 2022, a premier interdisciplinary conference in data science, will be held in Washington, D.C. starting Aug. 14 and feature Georgia Tech researchers in the two main tracks – research papers and applied data science papers. The research event is organized by the Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining."The annual KDD… Continue reading Knowledge Discovery and Data Mining Research From Georgia Tech Highlights Medical Benefits, Social Applications, and More →

Georgia Tech researchers have new published research this week at the International Conference on Machine Learning (ICML), one of the leading international academic conferences in machine learning, the field of computer science that gives computer systems the ability to learn from data. ICML 2022 runs through Saturday in Baltimore, Maryland. The research venue is globally… Continue reading Georgia Tech Researchers Present New Machine Learning Methods and Applications at ICML 2022 →

Natural language processing (NLP) is a growing cornerstone of artificial intelligence and allows for people and machines to take action based on insights in digital text. New NLP research from Georgia Tech is allowing for patterns to be uncovered in this text and broaden the understanding of how to build better computer applications that derive… Continue reading Georgia Tech Research In Natural Language Processing Derives Insight from Growing Volume of Digital Text →

Georgia Institute of Technology researchers will present new technical findings in artificial intelligence, machine learning, and computer vision research and applications at the Computer Vision and Pattern Recognition (CVPR) conference taking place from June 19-24, 2022, in New Orleans, Louisiana, and virtually. The institute is a leading contributor in the technical program and researchers will… Continue reading Georgia Tech Presents Latest in Machine Learning Research at Computer Vision and Pattern Recognition Conference June 19-24 →

Clockwise from top left: Caleb Ziems, Diyi Yang, Mark Riedl, and Chen Liang (size of text on images approximates the frequency of words in selected research paper by each author) Georgia Tech at ACL 2022 Georgia Tech experts in natural language processing (NLP) — a field that involves building machines that can “understand” human language… Continue reading Researchers Break Barriers in ‘Socially Aware’ Natural Language Processing and Other Areas at ACL 2022 →

Georgia Tech at ICLR 2022 The International Conference on Learning Representations (ICLR), taking place April 25-29, is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech… Continue reading Georgia Tech Presents Latest in Deep Learning Research at ICLR →

The 2022 cohort for the J.P. Morgan AI PhD Fellowships Program includes Pranav Shetty and Zijie “Jay” Wang, both students in the Machine Learning PhD program at Georgia Tech. The institute is the only university with multiple recipients among the new group of 11. Both students are advised by College of Computing faculty. The J.P.… Continue reading Georgia Tech Machine Learning Students Earn J.P. Morgan AI PhD Fellowships →

Georgia Tech and Meta have launched a new co-teaching initiative, the Artificial Intelligence Learning Alliance (AILA), with the goal of bringing graduate-level machine learning educational opportunities to historically black colleges and universities (HBCUs) and other minority-serving institutions (MSIs). For context, only 3.8 percent of computing Ph.D. graduates in 2020 were Black, Hispanic, or Native American,… Continue reading Partnership with Meta Brings New Online Machine Learning Resources to HBCUs →