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 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 ...

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 ...

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 ...

For the past five years, Google Pixel phones have been powered by an in-house system-on-a-chip (SoC) designed by Google. The company's chips have come a long way since then, culminating in the Tensor ...

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, ...

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 ...