News
Mengtian Li, Yu-Xiong Wang, and Deva Ramanan Receive Best Paper Honorable Mention Award ECCV 2020
Congratulations to authors: Mengtian Li, Yu-Xiong Wang, and Deva Ramanan from Carnegie Mellon University and Argo AI for receiving the Best Paper Honorable Mention Award at the 16th European Conference on Computer Vision (ECCV) for their paper Towards Streaming Image Understanding.
Choset Joins International Group Focused on AI for Social Good
The Robotics Institute's Howie Choset is among four CMU faculty members who will receive new Kavčić-Moura professorships. Howie Choset, the Kavcic-Moura Professor of Computer Science, has joined the Global Partnership on Artificial Intelligence (GPAI), an international group founded this year by the United[...]
100 Maps From CMU’s EarthTime Chart Humanity’s Greatest Challenges
New UK Book Provides Perspectives For Navigating Uncertain Times Earthtime refugee flow EarthTime, the innovative data visualization technology developed by Carnegie Mellon University's CREATE Lab, takes center stage in a new book addressing some of the greatest challenges facing mankind. "Terra Incognita: 100[...]
Sounds of Action: Using Ears, Not Just Eyes, Improves Robot Perception
Carnegie Mellon Builds Dataset Capturing Interaction of Sound, Action, Vision PITTSBURGH—People rarely use just one sense to understand the world, but robots usually only rely on vision and, increasingly, touch. Carnegie Mellon University researchers find that robot perception could improve markedly by adding another[...]
SCS Researchers Top Leaderboard in DARPA AutoML Evaluations
Researchers led by Saswati Ray, senior research analyst in School of Computer Science's Auton Lab, have once again received top scores among teams participating in the Defense Advanced Research Project Agency's program for building automated machine learning (AutoML) systems. The Data-Driven Discovery of Models (D3M)[...]
Which Way to the Fridge? Common Sense Helps Robots Navigate
Carnegie Mellon's Winning Strategy Speeds Up Robotic Searches PITTSBURGH—A robot travelling from point A to point B is more efficient if it understands that point A is the living room couch and point B is a refrigerator, even if it's in an unfamiliar place.[...]