Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

The application of neural networks to halftone image processing has catalysed transformative advances in both the generation and restoration of digital images. By leveraging deep learning ...

WiMi launched the MC-QCNN, a quantum convolutional neural network capable of processing multi-channel data for applications ...

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers at Reichman University's Baruch Ivcher School of Psychology and the Dina ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

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Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

New research published in Imaging Neuroscience suggests that general intelligence is supported by the brain’s ability to maintain stable, efficient, and typical connectivity patterns. The study ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...