Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
A new fingerprint matching algorithm developed by Precise Biometrics delivers significantly higher accuracy, along with stronger security and easier use.
FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Morning Overview on MSN
Scientists pinpoint neural roots of schizophrenia and bipolar disorder
For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...
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