The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...
A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...
BrainChip Holdings Ltd., a leader in commercial production high-performance, ultra-low-power, event-based neuromorphic artificial intelligence platforms, said today it raised $25 million in new ...
A technical paper titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems” was published by researchers at CEA-LETI Université Grenoble Alpes, University of ...
What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...
The neuromorphic computing market is set for significant growth, driven by demand in AI, robotics, and energy-efficient ...
For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...
A new neuromorphic chip has shown it can perform continuous voice activity detection while using extremely low power, ...
Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...
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