Qwen 3.8 Max Launches with a Massive 2.44 Trillion Parameters

Qwen 3.8 Max brings 2.44 trillion parameters to the open-weight AI landscape. See how this new multimodal powerhouse handles ...
Android Police

The Tensor G6 isn't a downgrade at all; it's Google admitting what really matters

I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...
Gizmodo

Google’s Next Phone Chip Will Be Faster, and Still Not Fast Enough

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Gizmodo may earn an affiliate commission. Reading time 3 minutes We ...
CNET

I Got an Early Look at the Tensor Robocar, a Self-Driving Vehicle You Can Own

As robotaxis creep into more cities, a new self-driving car is slated to hit the road later this year — and you’ll be able to own it. At CES, I got an early look at what’s in store for the upcoming ...
Mashable

CES 2026: I got a first look at Tensor’s Robocar

Tensor Auto is very confident about its Robocar. It's the most succinct way I can describe how I felt after getting a look under the hood at this very luxurious electric vehicle at CES 2026, just a ...
Forbes

Want To Own A Luxury Robocar? Tensor Could Sell You One In 2026

Tensor's Robocar has been custom built for Level 4 autonomy. Most people agree that full autonomy will be a big part of the future of driving. The question is when. Tesla may have been making all the ...
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 ...
Phys.org

AI tensor network-based computational framework cracks a 100-year-old physics challenge

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 ...
TheServerSide

Create your first Python AWS Lambda function in minutes

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
Gizmochina

Tensor G5 vs Tensor G4: Benchmarks and specs

Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous ...