Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now. And ...

Think about the name, TensorFlow. It gives us a pretty good idea about how it works. A tensor is a multi-dimensional data ...

Nick Statt is a Senior Producer on Decoder. Previously, he reported on the technology and gaming industries for more than a decade. Google today is unveiling its second-generation Tensor Processor ...

Google is no stranger to building hardware for its data centers, but it's now going so far as to design its own processors. The internet giant has revealed the Tensor Processing Unit, a custom chip ...

A tensor processing unit (TPU)—sometimes referred to as a TensorFlow processing unit—is a special-purpose accelerator for machine learning. It is processing IC designed by Google to handled neural ...

Google is rebranding TensorFlow Lite to LiteRT (as in “lite runtime”). This lets you deploy ML and AI models on Android, iOS, and embedded devices. Basically, for on-device AI at the Edge. Google ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...