Tensor is a robocar you can own. Here's what's inside

The company plans to start shipping the self-driving vehicle later this year. You'll also have the option to take over for a manual drive.

Tensor Unveils OpenTau ( ) at CES 2026, Introducing a Breakthrough Open-Source Training Platform for Physical AI

LAS VEGAS, Jan. 8, 2026 /PRNewswire/ -- At CES 2026, Tensor today announced the official open-source release of OpenTau ( ), a powerful AI training toolchain designed to accelerate the development of ...
TMCnet

Tensor Unveils OpenTau (t) at CES 2026, Introducing a Breakthrough Open-Source Training Platform for Physical AI

LAS VEGAS, Jan. 8, 2026 /PRNewswire/ -- At CES 2026, Tensor today announced the official open-source release of OpenTau ( t ), a powerful AI training toolchain designed to accelerate the development ...
CNET

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

Each passenger gets their own screen, for a total of four displays (sorry, back middle-seat rider). A camera nestled above ...

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

The Tensor Robocar on display features a sleek, silver sedan-like body with a low, aerodynamic profile and a prominent halo LiDAR unit mounted on the roof. Camera-based side mirrors, flush lighting, ...
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 ...
techxplore

Researchers extend tensor programming to the continuous world

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...
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 ...
Hosted on MSN

What Are Tensors in Deep Learning? A Beginner-Friendly Explanation

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are they so important? In this video, we break down the concept of tensors in ...
Beebom

Google Tensor G4 Benchmarks and Specs

The Google Tensor G4 on the Pixel 9 phones performs poorly on the Geekbench CPU test, despite packing the latest ARM cores. The older ARM Mali-G715 GPU on the Tensor G4 is also pretty weak, ...
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 ...
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 ...