WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
EurekAlert!

New study in IEEE/CAA Journal of Automatica Sinica describes convolutional neural network framework to predict remaining useful life in machines

Modern industries require efficient and reliable machinery. To ensure the stability of industrial equipment and avoid unnecessary downtime, it is important to gauge a machine’s remaining useful life ...
EurekAlert!

Joint source-channel encoding/decoding techniques for reliable communications

Joint source-channel coding/decoding (JSCC/JSCD) techniques have become state-of-the-art and one of the challenging research subjects in the spatial communication area. This paper addresses the basic ...

DeePFAS: AI tool advances 'forever chemical' detection

DeePFAS, a novel deep-learning model, streamlines large-scale non-targeted screening of "forever chemicals" (PFAS) by projecting raw MS2 spectra into a latent space of chemical features, offering a ...