Nature

Neural Networks and Optimization Techniques

Over the past decades, neural networks and optimisation techniques have evolved into critical tools for tackling complex, time-varying problems in engineering and the physical sciences. Neural ...
AZoOptics

Skoltech Researchers Use a Neural Network to Speed Up the Tuning of Ultrashort Light Flashes for Experimental Physics

Researchers from Skoltech (part of the VEB.RF group) and the Shanghai Institute of Optics and Fine Mechanics have developed ...
Ars Technica

Researchers isolate memorization from problem-solving in AI neural networks

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...