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

Anker's THUS chips embeds a processors on memory chips to reduce the energy consumption. Apple has done something simililar ...

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

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 ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

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 ...

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

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 ...

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

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...