(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 ...

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

Grover's algorithm is then applied for precise searching, thereby improving search efficiency. Quantum Neural Networks, an emerging technology that combines the principles of quantum mechanics ...

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 ...

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 ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

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 ...