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

From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...

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, ...

When you're streaming a show, checking your email, or asking an AI assistant for help, different types of computer chips are working behind the scenes. The most important are CPUs and AI accelerator ...

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 ...

In a bold challenge to US giant Nvidia’s dominance in artificial intelligence (AI) hardware, Chinese researchers have trained a cutting-edge video-generation model on an off-the shelf industrial chip ...

With the rise of artificial intelligence, the requirement for higher-performance hardware accelerators that can support complex computations has also grown. Among the useful ones are Graphics ...