Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...

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 ...

Bone fractures are among the most prominent injuries in the modern world that affect all ages and races. Traditional treatment involves radiographic imaging that relies heavily on radiologists ...

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 has unveiled its personal Robocar at CES, positioning it as an AI-first autonomous vehicle built from the ground up for Level 4 driving rather than a conventional EV retrofitted with autonomy.

It can also locate your pet while you’re away from home. It can also locate your pet while you’re away from home. is a news writer who covers the streaming wars, consumer tech, crypto, social media, ...

Dec 11 (Reuters) - The U.S. Food and Drug Administration has approved Flow Neuroscience's at-home brain stimulation device to treat depression, offering an alternative to typical antidepressants that ...

The FDA has approved its first at-home, nondrug therapy for depression, with a wearable brain stimulation headset developed by Flow Neuroscience. The agency issued a green light that covers the device ...

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 ...