The approval reflects the UAE Government’s continued commitment to enabling innovation in advanced mobility and artificial intelligence through clearly defined regulatory frameworks. Image: Supplied ...

Tensor Auto Inc., a startup that develops autonomous vehicles, is considering raising several hundreds million dollars ahead of a potential initial public offering in the U.S., according to people ...

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 ...

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 ...

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 ...

This is a primal movement beginner video where I demonstrate some simple movements and a flow you can use to start natural movement training. The first part is a tutorial of various positions and ...

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, ...

Lyft is partnering with San Jose-based Tensor Auto. Lyft says it has reserved "hundreds" of Tensor robotaxis and will operate its own fleet. The other piece of the partnership: Tensor will make its ...

Lyft Inc. is partnering with autonomous vehicle developer Tensor Auto Inc. to deploy a fleet of hundreds of robotaxis in Europe and North America starting in 2027. The ride-hailing company will ...

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 ...