Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Originally designed to accelerate computer image processing, graphics processing units (GPUs ...

When it comes to tech, most don't think too much about how things like NPUs and GPUs work. But the differences between them ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

Adobe, Baidu, Netflix, Yandex. Some of the biggest names in social media and cloud computing use NVIDIA CUDA-based GPU accelerators to provide seemingly magical search, intelligent image analysis and ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Machine translation of human languages has been a dream of researchers ever since computers powerful enough for the job became available. That was long before the internet became a thing, and ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

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The graphics processing unit, better known today as the GPU, did not begin as a pillar of supercomputing or the engine behind artificial‑intelligence chatbots. Its story starts in a smoky arcade where ...