Physics World

Neural networks extract information from sparse datasets

Condensed-matter theorist Gareth Conduit developed an algorithm that can “learn” from incomplete data. His next challenge: turning it into a business Information from data Intellegens chief technology ...
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 ...
PsyPost on MSN

The secret to sustainable AI may have been in our brains all along

Researchers have developed a new method for training artificial intelligence that dramatically improves its speed and energy ...
Chemistry World

Neural network trained to classify crystal structure errors in MOF and other databases

Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found ...
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 ...
The Scientist

A Neural Network Maps the Mouse Brain in Unprecedented Detail

Using spatial transcriptomics and AI, researchers redefined the mouse brain’s geography, uncovering hundreds of new ...
Popular Science

Engineers finally peeked inside a deep neural network

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Say you have a cutting-edge gadget that can crack any safe in the ...