School of Computer Science researchers have developed a new framework that advances federated learning, a distributed, real-time approach for training deep neural network models. The new framework enables remote clients to equitably participate in training regardless of their computing resources.
Researchers at Georgia Tech and Northeastern University conducted a study with information workers to learn about their perspectives on being monitored and their information being collected with passive-sensing enabled artificial intelligence (PSAI), where computing devices can unobtrusively detect and collect user behaviors.
School of Computational Science and Engineering Assistant Professor is presenting details about a first-of-its-kind algorithm for generative AI models at the 2023 Symposium on Materials Innovations, being hosted by Georgia Tech’s Institute for Materials on March 31.
Georgia Tech researchers have new published research at the International Conference on Machine Learning (ICML), a leading academic conference in machine learning, the field of computer science that gives computer systems the ability to learn from data.
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 value from written language.
A Georgia Tech research group in the School of Interactive Computing has developed a robotics system that exceeds existing standards for collaborative bots that work independently to achieve a shared goal.
The National Science Foundation has awarded a $1 million Stage 2 Civic Innovation Challenge grant to a team led by Professor Pascal Van Hentenryck to pilot an On-Demand Multimodal Transit System in Atlanta.
The new Center will advance ethics-in-technology-centered research, education, and engagement at the Georgia Institute of Technology in collaboration with communities, government, non-governmental organizations.
The new county-level calculator builds on the team’s interactive state-level tool, which estimates the daily risk that one or more individuals infected with Covid-19 are present in U.S. events of various sizes.
Roboticists from around the world, including researchers from the Georgia Institute of Technology, are publishing their latest work at the 2020 IEEE International Conference on Robotics and Automation (ICRA), a two-week live online virtual affair the first part of June, with research activities continuing through August.