The AI chip giant has taken the wraps off its latest compute platform designed for test-time scaling and reasoning models, alongside a slew of open source models for robotics and autonomous driving.

Abstract: The increasing complexity and scale of Deep Neural Networks (DNNs) necessitate specialized tensor accelerators, such as Tensor Processing Units (TPUs), to meet various computational and ...

Taking photos on a Pixel is still one of the best parts of enjoying the phone. While the gap is smaller than it was when the original Pixel was released, I feel that Google has the best camera ...

Want to call someone a quick-thinker? The easiest cliché for doing so is calling her a computer – in fact, “computers” was the literal job title of the “Hidden Figures” mathematicians who drove the ...

What’s the difference between a GPU and a TPU? It’s a wonkish question, to be sure, but one that has a lot of interesting applications to the AI arms race, where companies are trying to be the go-to ...

Abstract: With the development of convolutional neural networks (CNN) across various domains, the growth in network structure complexity and computational load has increasingly become a research focus ...

Google has introduced multiple TPU generations, each optimized for specific workloads, from cost-efficient training to high-performance inference. The new Ironwood TPU is designed explicitly for ...

Comprehensive repository offering official resources, detailed guides, and reference materials for Agisoft Metashape Professional on Windows PCs. Ideal for users seeking reliable documentation and ...

Last week, The Information reported that Meta is in talks to buy billions of dollars’ worth of Google’s A.I. chips starting in 2027. The report sent Nvidia’s stock sliding as investors worried the ...