New research offers clues to what goes on inside the minds of machines as they learn to see. Instead of attempting to account for a neural network's decision-making on a post hoc basis, their method ...

Recent advancements have witnessed an impressive convergence between neural network architectures and spectroscopic techniques within computer vision. Deep learning methods, particularly convolutional ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

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In recent years, owing to the advancements in the immense processing ability and parallelism of modern graphics processing units (GPUs), deep learning based on convolutional neural networks (CNN) has ...

Tesla CEO Elon Musk has been teasing a neural network training computer called “Dojo” since at least 2019. Musk says Dojo will be able to process vast amounts of video data to achieve vision-only ...

In 2008, Pietro Perona , Caltech's Allen E. Puckett Professor of Electrical Engineering, was on sabbatical in Italy, enjoying a cappuccino in a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Welcome to the forefront of industrial innovation, where artificial intelligence, machine ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

In brief: Someone was able to achieve remarkable results in upscaling a very old, low-resolution, black and white video from 1896 to a crystal-clear 4K video at 60 frames per second. This is one of ...

DURHAM, N.C. -- The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what's called deep neural networks. Loosely modeled on the ...