Spiking neural networks have some research traction but to date have none of the same appeal of convolutional, ... The company’s Akida Development Environment will be released in Q3 of this year with ...

In addition to 12 digital cores for spiking neural networks, it also has four analog ones, with silicon circuits making up the spiking neurons and interconnecting synapses of each core.

BrainChip’s new accelerator is based on spiking neural-network technology that promises high performance with low overhead. ... The x8 PCI Express board uses Xilinx’s Kintex UltraScale FPGA.

Spiking neural networks (SNNs) are a type of neural network based around changes to an existing state. Spike-based approaches seek to more closely model the dynamics of learning in biological brains, ...

It's possible to get pretty much any neural network to run as a spiking neural network, but there are some significant challenges, like converting the input into a series of spikes in the first place.

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 ...

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