Nature

Explainable machine learning in materials science

Traditional materials science studies depend heavily on the knowledge of individual experts. Expert knowledge is highly useful, especially for advancing physical understanding and generating new ...
Nature

Intelligent fault diagnosis of rotating machinery based on improved hybrid dilated convolution network for unbalanced samples

In practical industrial applications, obtaining a sufficient number fault samples for specific types of equipment fault can be challenging. As a result, there are frequently significantly fewer defect ...
TMCnet

WiMi Implements a Quantum Kernel Convolution (QKC) Scheme Capable of Running on Current Noisy Intermediate-Scale Quantum (NISQ) Devices

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the release of a core technology for hybrid Quantum ...
Optics

Light-based chip boosts power efficiency of AI tasks 100-fold

Florida researchers develop optoelectronic silicon chip to perform convolution operations for artificial intelligence. Turning light-encoded data into instant convolution results. Artificial ...