Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Linear-scaling algorithms must be developed in order to extend the domain of applicability of electronic structure theory to molecules of any desired size. However, the increasing complexity of modern ...

India’s National Quantum Mission leverages nuclear legacy to lead in quantum computing, communication, sensing, and deep-tech ...

The paper compares of the multidimensional matrix algebra and the tensor algebra. It is shown that tensor algebra operations are realized in the multidimensiona ...

Explore the rise in jobs in quantum computing, the top skills employers want, and why now’s a smart time to build a career in this field.

A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.

The Pixel 10 may come with a triple-camera setup, Tensor G5 chip, and bold new colors. Here's everything leaked so far-launch date, specs, and design updates!

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagat ...

Then, LUT Tensor Core proposes the hardware design featuring an elongated tiling shape design to enhance table reuse and a bit-serial design to support various precision combinations in mpGEMM.

Tensor ProducT ATTenTion (TPA) Transformer (T6) is a state-of-the-art transformer model that leverages Tensor Product Attention (TPA) mechanisms to enhance performance and reduce KV cache size. This ...

Tensor algebra and multidimensional HR are relatively mature topics, albeit still on the fringes of signal processing research. We show they are in fact central for target localization in a variety of ...