Google Pixel fans are frustrated with the in-house Tensor chip, namely with its under-performance and inefficiency against other flagships.

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Abstract: Network compression techniques that combine tensor decompositions and pruning have shown promise in leveraging the advantages of both strategies. In this work, we propose enhanced Network ...

Since Google moved to its own Tensor chipsets with the Pixel 6 in 2021, the company has relied heavily on Samsung's Exynos platform. Earlier versions of Tensor shared much of their architecture with ...

Abstract: DeepTensor is a computationally efficient framework for low-rank decomposition of matrices and tensors using deep generative networks. We decompose a tensor as the product of low-rank tensor ...