Electronics & Semiconductors

A deep-learning-enhanced e-skin that can decode complex human motions

Researchers at Seoul National University and Korea Advanced Institute of Science and Technology (KAIST) have recently developed a sensor that can act as an electronic skin and integrated it with a deep neural network. This ...

Hardware

IBM sees AI benefits in phase-change memory

In a development that holds promise of more sophisticated programming of mobile devices, drones and robots that rely on artificial intelligence, IBM researchers say they have devised a programming approach that achieves greater ...

Computer Sciences

Computational imaging benefits from untrained neural network

Computational imaging (CI) techniques exploit optical device and calculation algorithms to reconstruct object information. A key goal of CI is to develop more advanced algorithms in order to simplify hardware equipment and ...

Robotics

Deep reinforcement learning: Teaching robots like children

When children play with toys, they learn about the world around them—and today's robots aren't all that different. At UC Berkeley's Robot Learning Lab, groups of robots are working to master the same kinds of tasks that ...

Machine learning & AI

Researchers measure reliability, confidence for next-gen AI

A team of Army and industry researchers have developed a metric for neural networks—computing systems modeled loosely after the human brain—that could assess the reliability and confidence of the next generation of artificial ...

Robotics

A deep learning-based method for vision-based tactile sensing

To effectively interact with their surrounding environment, robots should be able to identify characteristics of different objects just by touching them, like humans do. This would allow them to get hold of and manage objects ...

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