Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, ...

Innatera and Byte Lab partner to speed up the development and industrialisation of neuromorphic edge AI systems.

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

Covering developments in neuromorphic computing has been something of a piecemeal experience, as happens with all novel architectures. There are few companies with scalable devices and the research is ...

Robotics technology that not only performs simple tasks but also supports humans in all their tasks is among the key technologies in industrial manufacturing. But this requires that robots be able to ...

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Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

Just a few years ago, the promise of ultra-low power, high performance computing was tied to the rather futuristic-sounding vision of a “brain chip” or neuromorphic processor, which could mimic the ...