Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

Negative reinforcement is a method that can be used to help teach specific behaviors. With negative reinforcement, something uncomfortable or otherwise unpleasant is taken away in response to a ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

Scottish philosopher James Beattie said a mouthful when he observed that "in every age and every man, there is something to praise as well as to blame." In other words, people face a choice when ...

Negative reinforcement encourages specific behaviors by removing or avoiding negative consequences or stimuli. It is different than punishment, which aims to discourage a specific behavior. Negative ...