Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research published in APL Machine Learning, I have used a phenomenon ...

A team led by Northwestern University and Shirley Ryan AbilityLab scientists have developed a new technology that can eavesdrop on the hidden electrical dialogues unfolding inside miniature, lab-grown ...

Forward-looking: Traditional computer chips perform tasks by sending digital signals at regular clock speeds, but new experimental hardware uses microwaves for specialized workloads. The resulting ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

(A–C) Representative images reconstructed by conventional method (left) and new method (right) of microtubules, nuclear pore complexes and F-actin samples. The regions enclosed by the white boxes are ...

Physics-informed neural networks are faster and more accurate at predicting space junk trajectories than conventional methods, says Sierra Space. Credit: Alamy Stock Photo Sierra Space says it can ...