Hardware

Neural network training made easy with smart hardware

Large-scale neural network models form the basis of many AI-based technologies such as neuromorphic chips, which are inspired by the human brain. Training these networks can be tedious, time-consuming, and energy-inefficient ...

Electronics & Semiconductors

AI chips could get a sense of time with memristor that can be tuned

Artificial neural networks may soon be able to process time-dependent information, such as audio and video data, more efficiently. The first memristor with a "relaxation time" that can be tuned is reported today in Nature ...

Robotics

Animal-brain-inspired AI game changer for autonomous robots

A team of researchers at Delft University of Technology has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and ...

Robotics

Trotting robots reveal emergence of animal gait transitions

A four-legged robot trained with machine learning by EPFL researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking—a milestone for roboticists as well as biologists interested ...

Energy & Green Tech

New model elevates UAV efficiency in next-gen wireless networks

Researchers from the University of Missouri-Kansas City, School of Computing and Engineering, and independent researchers have developed a model, dubbed GREENSKY, that significantly enhances the energy efficiency and operational ...

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