WiMi's Quantum Feedforward Neural Network (QFNN) holds broad application prospects, particularly in scenarios with extremely high demands for computational speed and data scale, such as financial ...

By efficiently leveraging the advantages of quantum computing, it not only accelerates neural network training but also enhances generalization capabilities, opening new directions for the development ...

A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms—and might also explain how human brains learn.

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.

The deep learning pioneers believe that better neural network architectures will eventually lead to all aspects of human and animal intelligence, including symbol manipulation, reasoning, causal ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

Deep learning is a subset of machine learning which uses neural networks to perform learning and predictions. Deep learning has shown amazing performance in various tasks, whether it be text, time ...