Exclusive: Google works to erode Nvidia's software advantage with Meta's help

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...
IEEE

Tensor-Based Adaptive Consensus Graph Learning for Multi-View Clustering

Abstract: Multi-view clustering has garnered considerable attention in recent years owing to its impressive performance in processing high-dimensional data. Most multi-view clustering models still ...

Zevo wants to add robotaxis to its car-share fleet, starting with newcomer Tensor

As robotaxi adoption continues, wild ideas like personal ownership and renting them out are starting to pop up again.
The New York Times

The Best Drugstore Makeup and Manicure Products

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Hannah Morrill Hannah ...
The New York Times

The Best Retinol Products

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Rory Evans Rory Evans is a ...
IEEE

Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing

Abstract: Multi-view data processing is an effective tool to differentiate the levels of consumers on electronics. Recently, the graph based multi-view clustering methods have attracted widespread ...
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 ...