The Massachusetts Institute of Technology has come up what it thinks is a better way to teach robots general purpose skills. Derived from LLM techniques, the method provides robot intelligence access to an enormous amount of data at once, rather than exposing it to individual programs for specific tasks. Faster and more cost efficient, the approach has been referred to as a “brute force” approach to problem-solving, and machine learners have taken to it in lieu of individualized, task-specific “imitation learning.” Early tests show it outperforming traditional training by more than 20 percent under simulation and real-world conditions. Continue reading MIT Intros LLM-Inspired Teacher for General Purpose Robots

Boston Dynamics, a robotics company owned by Google’s parent Alphabet, has introduced a robot that is making leaps and bounds in the industry — literally. Handle, as the robot is called, can jump over obstacles, go down stairs, and lift objects up to 100 pounds. The impressive machine has two legs with wheels that allow it to move fluidly. Unlike other robots that generally move slowly and deliberately, Handle can use its momentum without losing control to get around more easily. Continue reading Boston Dynamics Creates a Robot with Humanlike Movement

The Never Ending Image Learner (NEIL), a computer program at Carnegie Mellon, searches the Web for images and tries to understand them in order to grow a visual database and gather common sense. This program is part of recent advances in computer vision where computer programs are able to identify and label objects in images, as well as recognize attributes such as color and lighting. This data will help computers comprehend the visual world. Continue reading Carnegie Mellon Computer Can Teach Itself Common Sense