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 ...

Google is ready to open up its Cloud TPU platform to developers and researchers looking to test machine learning workloads -- and it's got a new, more powerful Cloud TPU design than the chips we've ...

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 ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

A TPU (Tensor Processing Unit) is a type of specialized hardware accelerator designed by Google specifically for machine learning and artificial intelligence (AI) workloads. TPUs are optimized for ...

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 ...

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, ...