IEEE

Heterogeneity-Guided Tensor Decomposition for Traffic Flow Imputation

Abstract: Tensor decomposition has been widely recognized as a promising approach for addressing missing data in traffic flow analysis. Recent studies have demonstrated its effectiveness in capturing ...
CNET

Google Doubles Down on AI Creativity With Updates Coming to Flow and Flow Music

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 ...
9to5google

Tensor G6 reportedly bringing latest ARM CPU cores but outdated GPU to Pixel 11

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 ...
IEEE

Multidirectional Propagation of Sparsity Information across Tensor Slices

Abstract: A computational graph in a tensor compiler represents a program as a set of kernels connected by edges that describe how tensors flow between them. Tensors may be dense or sparse, the latter ...
Gizmochina

Google Tensor G6 may have appeared early on Geekbench with a 7-core CPU

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 ...
Interesting Engineering

Tensor’s ‘supercomputer on wheels’ turns a robocar into a rolling data center

Tensor has unveiled its personal Robocar at CES, positioning it as an AI-first autonomous vehicle built from the ground up for Level 4 driving rather than a conventional EV retrofitted with autonomy.
Motor Trend

Tensor Wants to Sell You a Private, Waymo-Style Self-Driving Car

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 ...
Network World

What are TPUs? Your guide to tensor processing units and AI acceleration

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 ...
CNBC

Google's decade-long bet on custom chips is turning into company's secret weapon in AI race

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 ...
CNBC

Google's rolling out its most powerful AI chip, taking aim at Nvidia with custom silicon

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 ...
Beebom

Tensor G4 vs Tensor G3: Not the Upgrade You Were Hoping For

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, ...