Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning ...

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

In some ways, it’s not surprising that machine-learning techniques do so much better. Neural networks were originally inspired by the architecture of the brain, so the fact that they can better ...

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

The Akida architecture bundles four NPUs into a node and connects multiple nodes with a mesh NOC (network on chip). This architecture can implement standard CNNs (convolutional neural networks ...

The two networks were roughly equal at natural language processing and other machine learning tasks. For Liu, those results were not surprising, given that the original KAN group’s focus has always ...

UCLA researchers have "created a unique all-optical platform to perform machine learning tasks at the speed of ... The result was its all-optical Diffractive Deep Neural Network (D2NN) architecture.

Mark van der Wilk, an expert in machine learning at the University of Oxford, told AFP that an artificial neural network is a mathematical construct "loosely inspired" by the human brain.