All of the sports at the Winter Olympics in Milano Cortino involve some physics in action. For figure skating, ski jumping ...

Explore the moment of inertia tensor of a solid cube using two different methods. This short compares approaches, highlights symmetry, and shows how each method leads to the same tensor—building ...

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 ...

Rajesh started following the latest happenings in the world of Android around the release of the Nexus One and Samsung Galaxy S. After flashing custom ROMs and kernels on his beloved Galaxy S, he ...

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 ...

To keep up with competitors that are gaining ground in the robotaxi space, Lyft (NASDAQ:LYFT) is partnering with Tensor Auto to deploy consumer-owned robotaxis in Europe and North America beginning in ...

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 ...