New Scientist

Quantum neural network may be able to cheat the uncertainty principle

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
Interesting Engineering

World’s first neuromorphic supercomputer nears reality with brain-inspired math

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
CNET

I Just Saw the Wireless Body-Transmitting Network That My Future Wearables Need

Ixana's Wi-R network could help smart glasses stream more reliably to other connected wearables. After seeing a few demos at ...

Bio-inspired nanochannels provide experimental evidence for uncovering brain memory mechanisms

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...

How neuron groups team up to embed memories in context

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...

'It is basically DLSS. That’s the way graphics ought to be': Nvidia's Jensen Huang has a clear vision for the future of its gaming GPUs and is going to be all about neural ...

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AZoCleantech

New Framework for Predicting TAIs in Hydrogen Combustion

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
IEEE

High-Confidence Classification of Partial Discharge Acoustic Signals Using Bayesian Networks for Uncertainty Quantification

Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...