Batra and Davenport Honored with Prestigious Science Award from the White House

In early July, President Donald J. Trump awarded top scientists and engineers with the Presidential Early Career Award for Scientists and Engineering (PECASE). Three Georgia Tech faculty members have been named recipients. Dhruv Batra, Mark Davenport, and Matthew McDowell were three of the 12 researchers recognized from the state of Georgia. PECASE is “the highest honor bestowed by the United States Government to … Continue reading Batra and Davenport Honored with Prestigious Science Award from the White House

Snapshots of ICML 2019

The 36th International Conference on Machine Learning (ICML) is by all accounts a premier conference in the machine learning world. Thousands of papers are submitted and thousands of people from around the world travel to attend the weeklong conference. This year was no different with over 6,000 attendees and 2,473 submitted papers. Only 621 papers … Continue reading Snapshots of ICML 2019

Playing Text-adventure Games with an AI

By Prithviraj Ammanabrolu People affect change in the world all the time using natural language communication. Grounding such communication in real world actions is a well-studied and notoriously complex task, even the data gathering step is difficult. So does there exist a platform on which we could more easily simulate such communication? And the answer … Continue reading Playing Text-adventure Games with an AI

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

By Samarth Brahmbhatt and Charlie Kemp Paper (CVPR 2019 oral) | bib | Explore ContactdB Paper by Samarth Brahmbhatt, Cusuh Ham, Charlie Kemp, and James Hays Georgia Institute of Technology Many times a day, people effortlessly grasp objects, yet human grasping is a complex phenomenon that has proven challenging to emulate and analyze. If robots … Continue reading ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

Mixing Frank-Wolfe and Gradient Descent

By Sebastian Pokutta, associate director of ML@GT TL;DR: This is an informal summary of our recent paper Blended Conditional Gradients with Gábor Braun, Dan Tu, and Stephen Wright, showing how mixing Frank-Wolfe and Gradient Descent gives a new, very fast, projection-free algorithm for constrained smooth convex minimization. What is the paper about and why you might care Frank-Wolfe methods [FW] … Continue reading Mixing Frank-Wolfe and Gradient Descent

9 Questions with Google AI’s Maya Gupta; Teaching computers to gamble well, knowing how to play the ‘career game,’ and a solution to boring plane rides

The Machine Learning Center at Georgia Tech (ML@GT) Speaker Series draws leading researchers from across academia and industry each semester to present on current topics in machine learning and artificial intelligence, applications for the technologies, and related insights and experiences. The popular series averages more than 100 attendees for each talk. This spring, ML@GT invited … Continue reading 9 Questions with Google AI’s Maya Gupta; Teaching computers to gamble well, knowing how to play the ‘career game,’ and a solution to boring plane rides

13 Questions with Manuela Veloso

The Machine Learning Center at Georgia Tech (ML@GT) Speaker Series draws leading researchers from across academia and industry each semester to present on current topics in the field, applications for machine learning and artificial intelligence, and related experiences. The series is wildly popular, with attendance averaging over 100 guests for each event. This spring, ML@GT … Continue reading 13 Questions with Manuela Veloso