New fully programmable Neural Processing Unit (NPU) combines CPU, Vector, and Tensor processing to deliver up to 256 TOPS for LLMs, Deep Learning, and Recommendation Systems.

The Tensor Basis Neural Network (TBNN) package provides an interface for building, training, and testing neural networks for systems that have known invariance properties. This package is intended as ...

The S2 core has the same efficient 2-stage or 3-stage ... The 64-bit NX27V is a vector processor with 5-stage scalar pipeline that supports the latest RISC-V specification, including the IMAFD ...

These rules are relatively simple and easily grasped by any engineering student familiar with matrix ... tensor fields allows us to present physical laws in a clear, compact form. A byproduct is a set ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This textbook presents the foundations of tensor calculus and the elements of tensor analysis. In addition, the authors consider numerous applications of tensors to geometry, mechanics and physics.

In this chapter we present numerical methods for low-rank matrix and tensor problems that explicitly make use of the geometry of rank constrained matrix and tensor spaces. We focus on two types of ...