Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference

A mathematician by trade, Molei Tao, typically uses mathematics to design algorithms and solve physical science problems like how planets move. Recently, he became attracted to machine learning, an area that according to him, contains numerous interesting problems that are mathematically exciting and can benefit from modern mathematical tools. This year, Tao published his first… Continue reading Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference

Learning Machines: Natural Language Processing Explained with Diyi Yang

Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work. Today we talked with Diyi Yang, an assistant professor in ML@GT and the School of Interactive Computing. Yang’s lab, Social and Language Technologies (SALT), combines… Continue reading Learning Machines: Natural Language Processing Explained with Diyi Yang

Meet ML@GT: Yuan Yang Looks to Find the ‘Right’ Problem to Solve

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 Yuan Yang, a… Continue reading Meet ML@GT: Yuan Yang Looks to Find the ‘Right’ Problem to Solve

ML@GT Students Learn Valuable Skills from Internships Despite Participating Remotely

Summertime is usually a time when students from the Machine Learning Center at Georgia Tech (ML@GT) are dispersed around the world interning at prestigious companies. While a global pandemic kept them from working out of shiny corporate offices and labs, however, students were able to still remotely intern for companies like Facebook, Qualcomm, Microsoft Research,… Continue reading ML@GT Students Learn Valuable Skills from Internships Despite Participating Remotely

ML@GT Makes a Strong Showing at Premier European Computer Vision Conference

This year’s European Conference on Computer Vision (ECCV) showcases 1,360 papers – 15 of them from the Machine Learning Center at Georgia Tech (ML@GT.) The papers cover a vast array of topics including an idea on how to improve vision and language navigation and a new model that is learning to generate grounded visual captions… Continue reading ML@GT Makes a Strong Showing at Premier European Computer Vision Conference

Learning Machines: Polo Chau Explains Data Visualizations

Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work. Today we talked with Polo Chau, the associate director for corporate relations at ML@GT, an associate professor in the School of Computational Science and Engineering,… Continue reading Learning Machines: Polo Chau Explains Data Visualizations

New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded

Annotating and labeling datasets for machine learning problems is an expensive and time-consuming process for computer vision and natural language scientists. However, a new deep learning approach is being used to decode, localize, and reconstruct image and video captions in seconds, making the machine-generated captions more reliable and trustworthy. To solve this problem, researchers at… Continue reading New Algorithm Follows Human Intuition to Make Visual Captioning More Grounded

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