(For more background, check out our first flowchart on "What is AI ... This technique is called a deep neural network—deep because it has many, many layers of simple computational nodes ...

A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

WiMi's quantum algorithm provides exponential speedup in both stages, enabling neural networks to achieve convergence in significantly less time. Quantum Feedforward Propagation: Classical ...

Google LLC today detailed RigL, an algorithm developed by its researchers that makes artificial intelligence models more hardware-efficient by shrinking them. Neural networks are made up of so ...

Rice researchers created a cost-saving alternative to GPU, an algorithm called “sub-linear deep learning ... The standard “back-propagation” training technique for deep neural networks requires matrix ...