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 ...
What’s the difference between analog and digital spiking neural networks (SNNs)? Why analog and digital SNNs are complementary. Details about Innatera’s Pulsar SSN-based microcontroller. Spiking ...
The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
An artificial neural network (ANN) that is said to be more like the human neural system, on which today's AI systems are loosely modeled. Rather than each neuron sending out a continuous value, the ...
What are spiking neural networks (SNNs)? Why neuromorphic computing is important. How BrainChip’s Akida platform brings neuromorphic computing to embedded applications. Artificial intelligence and ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...
Recently the [Global Science Network] released a video of using an artificial brain to control an RC truck. The video shows a neural network comprised of eight artificial neurons assembled on ...
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