ML@GT Expands Natural Language Processing and Data Science Research with New Faculty Hires

At the start of the 2020 fall term, Wei “Coco” Xu, Alan Ritter, Shihao Yang, and Jing Li will join the Machine Learning Center at Georgia Tech (ML@GT) as faculty members. Xu and Ritter join as the center continues to expand its footprint in the natural language processing field. “We are happy and excited to… Continue reading ML@GT Expands Natural Language Processing and Data Science Research with New Faculty Hires

Meet ML@GT: Erik Jorgensen Develops Machine Learning Tools to Understand Malware

The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech’s colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we’d like you to meet Erik Jorgensen,… Continue reading Meet ML@GT: Erik Jorgensen Develops Machine Learning Tools to Understand Malware

Dellaert Wins Test of Time Award for a Second Time This Year

For the second time this summer, Frank Dellaert has been awarded a Test of Time Award. This time, the award comes from Robotics Science and Systems (RSS) and recognizes Dellaert’s papers, Square Root SAM and Square Root SAM: Simultaneous localization and mapping via square root information smoothing. The latter is co-authored by Michael Kaess, an… Continue reading Dellaert Wins Test of Time Award for a Second Time This Year

ML@GT to Present Nine Papers at Competitive Machine Learning Conference

The International Conference on Machine Learning (ICML) received nearly 5,000 submissions for its 2020 conference and accepted 1,088 papers. Machine Learning Center at Georgia Tech (ML@GT) researchers authored nine accepted papers. The papers explore topics like privacy, semantics in predictive agents, data science, and artificial intelligence. One paper, Boosting Frank-Wolfe by Chasing Gradients, proposes a new state-of-the-art algorithm for constrained… Continue reading ML@GT to Present Nine Papers at Competitive Machine Learning Conference

Meet ML@GT: Charles Lehman Transitions from Navy Engineer to Machine Learning Ph.D. Student

The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech’s colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we’d like you to meet Charles Lehman,… Continue reading Meet ML@GT: Charles Lehman Transitions from Navy Engineer to Machine Learning Ph.D. Student

New Study Explores Sentiment Around Electric Vehicles, Leading to Faster Government Response and More Infrastructure

Policy makers have long been wanting to improve infrastructure needed for the adoption of electric vehicles (EV), but with mass amounts of unstructured data they have been unable to determine how charging stations are performing and where more need to be added, according to a recent study from Georgia Institute of Technology researchers. Researchers in… Continue reading New Study Explores Sentiment Around Electric Vehicles, Leading to Faster Government Response and More Infrastructure

Van Hentenryck Transforms Theories into Products Used Worldwide

At the Machine Learning Center at Georgia Tech (ML@GT), we’re lucky to have over 150 faculty members affiliated with our mission. With faculty from all six colleges on Georgia Tech’s campus plus several from Georgia Tech Research Institute (GTRI) and the Enterprise Innovation Institute (EI2), our professors bring a broad range of skills and areas of expertise. Pascal Van… Continue reading Van Hentenryck Transforms Theories into Products Used Worldwide

Tech Designed to Help Assistive Robots Work More Closely with Patients

Artificially intelligent (AI) systems are continuously improving their understanding of physical human activities such as running, jumping, and biking. Yet, much of people’s lives are spent resting in bed.  Researchers at the Georgia Institute of Technology and Stanford University have developed an AI-enabled smart bed and synthetic data set to study people at rest. The… Continue reading Tech Designed to Help Assistive Robots Work More Closely with Patients

ML@GT to Present Diverse Research Interests at CVPR 2020

For computer vision fans, the Computer Vision and Pattern Recognition (CVPR) conference is a significant annual event, regularly drawing thousands of attendees and paper submissions. The  Georgia Institute of Technology had nine papers by 33 authors accepted in the conference, taking place online this year starting June 14. Accepted papers covered a wide range of… Continue reading ML@GT to Present Diverse Research Interests at CVPR 2020

Meet ML@GT: Samarth Brahmbhatt Studies How Humans Grasp Objects, Enabling Robots to Do the Same

The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech’s colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we’d like you to meet Samarth Brahmbhatt,… Continue reading Meet ML@GT: Samarth Brahmbhatt Studies How Humans Grasp Objects, Enabling Robots to Do the Same