How efficiently can we mimic biological spiking process of neurons and synapses, and is CMOS a good choice for neural networks? Artificial neural networks have found a variety of commercial ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.230140 discusses photonic integrated neuro-synaptic core for convolutional spiking neural network. Brain science and brain-like ...

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

Spiking neural networks (SNNs) often are touted as a way to get close to the power efficiency of the brain, but there is widespread confusion about what exactly that means. In fact, there is ...

As we increase our understanding of the human connectome, our ability to understand the brain's phenomenal information throughput grows in tandem. We now have a partial network diagram of the human ...

In this episode of Inside Electronics, Senior Content Director and Editor of Electronic Design, Bill Wong, chats with Steve Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic ...

video: Broadly speaking, the goal of neuromorphic engineering is to build computer systems that mimic the brain. Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that ...

Researchers have created spiking neural nets with thousands of memristors (that mimic how neurons operate) by using atomically thin layer of material. Spiking neural networks should be better than ...

We talk a lot about AI, machine learning, and neural nets, but what's a neural net in the first place? Share on Facebook (opens in a new window) Share on X (opens in a new window) Share on Reddit ...