Abstract: Since higher-order tensors are naturally suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the ...

Sanuj is a tech enthusiast with a passion for exploring smartphones, tablets, and smart wearables. He started his tech journey with a Lumia smartphone, diving into Windows Phone. Later, he switched to ...

Google’s in-house Tensor chips from the beginning have faced criticism for not offering solid performance. While they are excellent for everyday tasks, the performance gap is pretty significant when ...

Abstract: Recently, fully-connected tensor network (FCTN) decomposition, which factorizes the target tensor into a series of interconnected factor tensors, has drawn growing focus on multi-dimensional ...

Google has officially pulled the wraps off the tenth generation of Pixel phones: the Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, alongside the Pixel 10 Pro Fold foldable. This latest lineup promises a ...

Google has just announced the Pixel 10 series, and all four phones are powered by the Tensor G5 processor. Tensor chips have traditionally enabled a variety of great Pixel-only features, but have also ...

Tensor Robocar will be made available in certain markets across Europe, the UAE, and the US. Credit: PRNewsfoto/Tensor. Agentic AI firm Tensor has announced the launch of the Tensor Robocar, which is ...

Abrar's interests include phones, streaming, autonomous vehicles, internet trends, entertainment, pop culture and digital accessibility. In addition to her current role, she's worked for CNET's video, ...

The company says it’s based in San Jose, but it appears to be connected to an autonomous vehicle developer with ties to China. The company says it’s based in San Jose, but it appears to be connected ...

Registration for to attend the tutorial in person is now closed. You can still register to attend the tutorial virtually. There is still time to register for the Symposium on November 4. Please join ...

Sparse tensor operations are increasingly important in diverse applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle in sparse tensor ...