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Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...
Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...
In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic ...
A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...
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Tech Xplore on MSNMachine learning methods are best suited to catch liars, according to science of deception detectionScientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...
Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the ...
1don MSN
Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...
Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...
A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN ...
A new AI model accurately detected cardiac amyloidosis from echocardiograms with higher accuracy vs. other amyloidosis risk ...
3d
IEEE Spectrum on MSNNew Machine Vision Is More Energy Efficient—and More HumanA I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...
Four of the 25 most-cited scientific papers of the 21st century were authored or co-authored by University of Toronto ...
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