Supergrappes technologiques – Québec accueille favorablement la sélection du projet de Scale.AI

La supergrappe en intelligence artificielle Scale.AI vise à appliquer aux différents secteurs industriels appuyés par la recherche et l’innovation les dernières avancées en science des données, en intelligence artificielle et en Internet des objets afin, notamment, de concevoir des réseaux de chaînes … Plus de details

Robonaut Has Been Broken for Years, and Now NASA Is Bringing It Home

A mysterious hardware problem has kept the ISS Robonaut out of action since at least 2015, so it’s returning to Earth for a fix Photo: NASA In February of 2011, NASA launched Robonaut 2 to the International Space Station. It was a huge achievement for the robotics team at NASA’s Johnson Space Center in Houston. There had been other robots in space, but Robonaut was the first advanced humanoid to ever go on a mission beyond Earth. On board the ISS, the robot was intended to eventually work side by side with astronauts, performing some of the dull and repetitive tasks that take up a significant amount of time that the humans on the station could instead be spending on science and discovery. For a while, things went well. The robot was unboxed from its protective foam packaging, and set up in the Destiny laboratory module. It was powered up for the first Continue reading Robonaut Has Been Broken for Years, and Now NASA Is Bringing It Home

AI2-THOR Interactive Simulation Teaches AI About Real World

AI2-THOR, an interactive simulation based on home environments, can prepare AI for real-world challenges Image: Roozbeh Mottaghi, Eric Kolve / Allen Institute for Artificial Intelligence Training a robot butler to make the perfect omlette could require breaking a lot of eggs and throwing out many imperfect attempts in a real-life kitchen. That’s why researchers have been rolling out virtual training grounds as a more efficient alternative to putting AI agents through costly and time-consuming experiments in the real world. Virtual environments could prove especially useful in training the most popular AI based on machine learning algorithms that often require thousands of trial-and-error runs to learn new skills. Companies such as Waymo have already built their own internal simulators with virtual roads and traffic intersections to train their AI to safely take the wheel of self-driving cars. But a new, open-source virtual training ground called AI2-THOR enables AI agents to learn how to interact with objects in familiar home Continue reading AI2-THOR Interactive Simulation Teaches AI About Real World

Eight MIT researchers win 2018 Sloan Research Fellowships

Eight MIT researchers from six departments are among the 126 American and Canadian researchers awarded 2018 Sloan Research Fellowships, the Alfred P. Sloan Foundation announced today. New MIT-affiliated Sloan Research Fellows are: Isaiah Andrews, an associate professor of economics; Tamara Broderick, the ITT Career Development Assistant Professor of Electrical Engineering and Computer Science and a member of the Institute for Data, Systems, and Society; Riccardo Comin, an assistant professor of physics; Kevin Esvelt, an assistant professor of media arts and sciences at MIT’s Media Lab; Stefanie Jegelka, an assistant professor of electrical engineering and computer science, and a member of IDSS and of the Computer Science and Artificial Intelligence Laboratory; Andrei Negut, an assistant professor of mathematics; Gabriela Schlau-Cohen, the Thomas D. and Virginia W. Cabot Assistant Professor of Chemistry; and Alex K. Shalek, the Pfizer-Laubach Career Development Assistant Professor, MIT’s Institute for Medical Engineering and Science, Department of Chemistry, Continue reading Eight MIT researchers win 2018 Sloan Research Fellowships