Discover the Qualcomm Snapdragon 7 Gen 4s significant improvements, including enhanced AI, graphics, and connectivity ...

Discover top laptops for machine learning in 2025: from RTX 5090 powerhouses to budget-friendly RTX 4060 options, find your ...

In fifteen years, RISC-V has gone from an academic project at UC Berkeley to one of the major technological trends in compute. The ISA has since flourished in an era that appreciates its royalty-free, ...

These cores handle pre- and post-processing tasks, tensor filtering, floating-point functions, and more. Additionally, these SiFive X280 cores connect to high-performance, high-efficiency Kinara NPU ...

The author demonstrates how curvature tensor components, such as the antisymmetric Weyl tensor, can be derived from the electromagnetic antisymmetric tensor, offering a new perspective on the ...

To fully exploit the extra information in the color data, the vector nature of color data has to be taken into account and a sound framework is needed to combine feature and photometric invariance ...

is decomposed by the tensor singular value decomposition (t-SVD) to explore its low-rank intrinsic features. Finally, the efficacy of the extracted features is evaluated using the accuracy of image ...

In five dimensions there are two dual descriptions that employ either a two-form tensor field or a vector field. We present the supersymmetric extensions of these dual theories using four dimensional ...

We study the linearized theory of the tensor-vector-scalar theory of gravity (TeVeS) with generalized vector action, an alternative theory of gravitation designed to explain the apparent deficit of ...

A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI ...