Within robotics and autonomous systems ... The Innatera microcontroller brings intelligence close to the sensor with a spiking neural network engine and a RISC-V processor core. “Our chips allow you ...

Neuromorphic vision and information processing are rapidly growing fields that aim to create smarter, more efficient computing and sensing systems. One key approach uses spiking neural networks ...

The robot senses the world through a spike-based visual system - the Asynchronous Time-based Image Sensor (ATIS) - and processes the sensory data stream using IBM's TrueNorth Neurosynaptic System. A ...

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles. The Quantum ...

Researchers at the Fraunhofer Institute for Factory Operation and Automation IFF have developed cognitive robot capabilities ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect ... the brain as if it was a computer, he added, with a very ...

A bit silly perhaps, but the dance represents a serious step for China’s tech industry. After years of American companies ...

Apple AAPL-0.22%decrease; red down pointing triangle is embracing the world of brain computer interfaces ... steps to enable people to control their iPhones with neural signals captured by ...

Brain computer interface (BCI) company Neuralink has been given regulatory approval to start a new trial of its implant to see if it can be used to control a robotic arm. If it proves to be ...

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The current research is published in the journal Digital Discovery. Machine ...