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On the left, the gripper is holding the brush and there are some objects (yellow cup, blue plastic block) in the background. On the right, the gripper is holding the yellow cup and the brush is in the background. If the left image was the desired outcome, a good reward function should “understand” that the two images above correspond to different objects.

Google teaches robots to recognize objects by interacting with their environment

We, humans, are capable of recognizing our surrounding objects since our early age. This ability to interact with objects in our environments plays a vital role...
MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image

Machine-learning system tackles speech and object recognition

MIT computer scientists have built up a system that figures out how to distinguish protests inside an image, in view of a spoken description...
MIT researchers have developed a module that helps artificial-intelligence systems fill in the gaps between video frames to improve activity recognition. Image courtesy of the researchers, edited by MIT News

Helping computers fill in the gaps between video frames

MIT scientists have come up with a new module that helps artificial intelligence systems called convolutional neural networks, or CNN's, to fill in the gaps...