Abstract: Generalizations of matrix decompositions to multidimensional arrays, called tensor decompositions, are simple yet powerful methods for analyzing datasets in the form of tensors. These ...

If money were not a factor, a Google software engineer says custom chips, like those from Broadcom , would always be his ...

Any American who has not fallen into conspiracy theory rabbit holes might have wondered why on earth Director of National Intelligence Tulsi Gabbard and top FBI officials, including Deputy Director ...

Celestica shares fell in after-hours trading following record fourth-quarter results and an updated 2026 outlook.

A new study led by investigators from Mass General Brigham shows that a brain waste- "clean-up" system is influenced by ...

Key takeaways: Bittensor is one of the most renowned AI-facilitated decentralized networks that promotes blockchain and artificial intelligence infusion. By leveraging Proof of Learning (POL) ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

The best vehicle at CES 2026 isn't a car Sex Positivity Is Back With 'The Handy' Sex Positivity Is Back With 'The Handy' 02:05 Meet the robot dog with a very special purpose Meet the robot dog with a ...

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 ...

ABSTRACT: This article is a continuation of Part(I) to demonstrate more aspects for a successful merge of classical mechanics to the quantum theory. The article starts first with the deduction of the ...

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...