News

Using a fermionic neural network to find the ground state of fractional quantum Hall liquids
When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...
GitHub24d
neural-networks
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
IEEE27d
MDFP-Net: A model-driven deep neural network for Fourier ptychography
FP has a very complex degradation process. Merging with Fourier transforms and pupil aperture scanning causes difficulty in reconstructing high-resolution images by the commonly used deep neural ...
TMCnet28d
Forward Networks Enhances Network Digital Twin with Advanced Endpoint Collection to Strengthen Security Compliance and Eliminate Tool Sprawl
Forward Enterprise delivers the most comprehensive, always-accurate network inventory available—empowering teams to manage, secure, and simplify modern enterprise networks SANTA CLARA, Calif., April ...
Yahoo Finance28d
Forward Networks Enhances Network Digital Twin with Advanced Endpoint Collection to Strengthen Security Compliance and Eliminate Tool Sprawl
Forward Enterprise delivers the most comprehensive, always-accurate network inventory available—empowering teams to manage, secure, and simplify modern enterprise networks SANTA CLARA ...
Electropages29d
How AI Works: From Neural Networks to Real-World Use
Examples of small AI models include simple regression models, small neural networks, and decision trees ... iteratively from data—refining their predictions with every pass through the network. These ...
manilatimes29d
WiMi Developed a Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm
BEIJING, Apr. 23, 2025--WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the development of a ...