This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

This shouldn't really come as much of a surprise. Google is arguably one of the kings of machine learning (ML) and AI, technologies that it relies on to make sense of all the data it collects through ...

Google Tensor is undoubtedly the most talked-about bit of the new Pixel 6 series. The chip has been marketed as going big on machine learning and supplying all the juice needed for stuff like Google’s ...

The big picture: When Google unveiled its new Pixel 6 phones today, it spent a good amount of its presentation talking about Google's Tensor chip. The company points out how the new system on a chip ...

Machine learning researchers using MLX will benefit from speed improvements in macOS Tahoe 26.2, including support for the M5 GPU-based neural accelerators and Thunderbolt 5 clustering.

Google’s Pixel 6 and Pixel 6 Pro are officially here, and with them, the debut of Google’s new Tensor chip. Google has finally revealed more information on what the new SoC can actually do, for the ...

Google announced its next generation of its custom Tensor Processing Units (TPUs) machine learning chips at Google I/O today. These chips, which are designed specifically to speed up machine learning ...

With TensorFlow, researchers can "try out their crazy ideas" with software that's also being used at Google. That's no longer the case, though, thanks in part to TensorFlow, a new machine-learning ...