A custom-built chip for machine learning from Google. Introduced in 2016, the Tensor Processing Unit (TPU) runs software from Google's TensorFlow AI library. TPU circuits are designed to process ...

Google is reportedly making a manufacturing shift with its next-generation Tensor processors, switching from Samsung Foundry ...

Researchers at Peking University and other institutes in China recently developed a highly promising tensor processing unit (TPU) based on carbon nanotubes that could be used to run AI algorithms ...

A Tensor Processing Unit (TPU) is a specialized hardware accelerator developed by google to enhance machine learning performance, particularly in deep learning models. TPUs are specifically ...

MediaTek is reportedly poised to replace Broadcom as Google's primary partner for developing its next-generation Tensor Processing Unit (TPU). While MediaTek has not commented on market ...

Tech giant Google (GOOGL) has launched its latest open-source AI model, Gemma 3, which can run on a single graphics processing unit (GPU) or ...

At its App Dev & Infrastructure Summit, the company announced its sixth-generation Tensor Processing Unit (TPU), Trillium, is now available to Google Cloud customers in preview. First announced in ...

The five-nanometer Tensor chip has an 8-core CPU, 20-core GPU and an AI-related processor for enhanced camera and audio operations, as well as machine learning applications. The Tensor chip ...

Google (NASDAQ:GOOG) (NASDAQ:GOOGL) is turning to Taiwan-based MediaTek to help it develop and produce the next generation of its tensor processing unit processors, designed for artificial ...

How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game? Read on to find out.