Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of ...

There are few scientific methods more elegantly simple than "just sprinkle it on top." Researchers at Tohoku University and ...

Using two phase-change memory devices per synapse, a three-layer perceptron network with 164 885 synapses is trained on a subset (5000 examples) of the MNIST database of handwritten digits using a ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

We’re finally beginning to understand how the brain changes as it picks up a new task.

Electronic neurons and synapses are the two fundamental building blocks of next-generation artificial neural networks.

By absorbing Synapse’s network, N-Power can provide pharma clients with diverse patient pools for trials, the company said.

It's an AI-based upscaling solution that utilizes Recurrent Neural Networks (RNN), but to enable PSSR, Sony first had to create what it calls a "fully fused network." ...

During training, the neural network adjusts the weights of the synapses so that an input produces the desired output.

Today at Black Hat Europe, Stamus Networks, a provider of high-performance network-based threat detection and response (NDR) systems, announced Clear NDR, an open and transparent NDR system that ...