In 2012, a groundbreaking computer program named AlexNet dramatically advanced machine vision. This system, utilizing ...

Abstract: Computationally intensive deep neural networks (DNNs) are well- suited to run on GPUs, but newly developed algorithms usually require the heavily optimized DNN routines to work efficiently, ...

This app uses computer vision point tracking to quantify near infrared signals emitted by (ICG) Indocyanine Green during fluorescence angiography. Short overview videos of how to use this app can be ...

Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient than NVIDIA chips, the leading supplier of AI chips worldwide. Instead of ...

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 ...

Specialized processors have introduced a flood of new acronyms—CPU, GPU, DPU, QPU, TPU, and more. Each representing a distinct function in modern computing. This guide breaks down these terms, ...

In-sensor processing of dynamic and static information of visual objects avoids exchanging redundant data between physically separated sensing and computing units, holding promise for computer vision ...

Computer pioneer Gordon Bell, who as an early employee of Digital Equipment Corporation (DEC) played a key role in the development of several influential minicomputer systems and also co-founded the ...

Ten years ago, one email transformed Nvidia from a graphic card company into an AI company. While others race to develop the best AI, Nvidia is earning billions by selling the tools these companies ...

Abstract: Nowadays, the vision chip bridging sensing and processing has been extensively employed in high-speed image processing, owing to its excellent performance, low power consumption, and ...