Columbia Engineers Use Psychology, Physics, and Geometry to Make Robots More Intelligent
Columbia computer scientists work with the Toyota Research Institute to make advanced home robots a reality.
Columbia computer scientists work with the Toyota Research Institute to make advanced home robots a reality.
CS researchers have built an algorithm that blocks a rogue microphone from correctly hearing your words—in English so far—80% of the time.
In this Q&A, climate scientist Galen McKinley and computer scientist Carl Vondrick explain how Columbia’s new climate modeling center will improve on the latest projections.
Assistant Professor Carl Vondrick, Didac Souris, and Ruoshi Liu developed a computer vision algorithm for predicting human interactions and body language in video, a capability that could have applications for assistive technology, autonomous vehicles, and collaborative robots.
Assistant Professor Carl Vondrick has won the National Science Foundation’s (NSF) Faculty Early Career Development award for his proposal program to develop machine perception systems that robustly detect and track objects even when they disappear from sight, thereby enabling machines to build spatial awareness of their surroundings.
Shuran Song and Carl Vondrick are among the awardees chosen for their artificial intelligence (AI) research. The program aims to use AI for societal good.
CS researchers are among the recipients of the inaugural awards from the Columbia Center of Artificial Intelligence Technology (CAIT). Amazon is providing $5 million in funding over five years to support research, education, and outreach programs.
A Columbia Engineering robot has learned to predict its partner robot’s future actions and goals based on just a few initial video frames. The study is part of a broader effort to endow robots with the ability to understand and anticipate the goals of other robots, purely from visual observations.