Your browser does not support the audio element. In TensorFlow 2, eager execution is turned on by default. The user interface is intuitive and flexible (running one ...

Macy is a writer on the AI Team. She covers how AI is changing daily life and how to make the most of it. This includes writing about consumer AI products and their real-world impact, from ...

An early, limited leak around Google’s upcoming Pixel 11 series offers some limited details around the Tensor G6 chipset inside, with a mix of good news and bad news. Mystic Leaks today posted an ...

Just weeks after wrapping up its current lineup with the Pixel 10a, Google may already be testing its new phones. A new Geekbench listing has surfaced, and while nothing is confirmed, it hints at ...

A controversy is swirling at a Texas university. The trigger? A flowchart. On Dec. 1, the new chancellor of the Texas Tech University system sent professors a diagram laying out a chain of approval ...

Tensor was founded in Silicon Valley as AutoX back in 2016 and focused on building autonomous commercial vehicles and robotaxis. The company began testing autonomous vehicles in California and China ...

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 ...

Google has spent more than a decade developing silicon, a bet that's paying off in a big way from the AI boom. The company says increased demand for its Tensor Processing Units, or TPUs, is one reason ...

Google said it's making Ironwood, the company's most powerful chip yet, widely available in the coming weeks. Ironwood, the seventh generation of Google's Tensor Processing Unit (TPU), was initially ...

In our Geekbench CPU test, the Tensor G4 didn't perform well and it trailed behind last year's Tensor G3 in multi-core tasks. The 7-core ARM Mali-G715 GPU performance is nearly the same as last year, ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...