Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

Wiland adds Neural Net modeling to enhance predictive analytics, uncover new audiences, and drive stronger marketing performance.

Researchers have created a 3D programmable device merging living neurons with flexible electronics, achieving high-efficiency ...

Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that, for the first ...

A universal potential for all-purpose atomic simulations has been pursued for decades, but remains challenging due to limitations in model expressiveness and dataset construction. Now, writing in the ...

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, ...

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 ...

The TEGNet emulator accelerates thermoelectric generator design, achieving 99% accuracy while cutting computation time to a ...