Google has taken a big leap forward with the speed of its machine learning systems by creating its own custom chip that it’s been using for over a year. The company was rumored to have been designing ...

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 ...

Google Project Suncatcher is a new research moonshot to one day scale machine learning in space. Working backward from this potential future, they are exploring how an interconnected network of ...

Google today introduced its seventh-generation Tensor Processing Unit, “Ironwood,” which the company said is it most performant and scalable custom AI accelerator and the first designed specifically ...

Christopher Miller, author of "Chip War: The Fight for the World's Most Critical Technology," says Google's TPU is designed especially for machine learning, while GPUs can take on a wider variety of ...

A team of Google researchers have shared a plan for building a machine learning system in space. The AI processing hardware would consist of a network of satellites in low Earth orbit, potentially ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

Google has introduced Ironwood, its seventh-generation Tensor Processing Unit (TPU), designed for large-scale AI model training, reinforcement learning, and inference. Save my User ID and Password ...

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 ...