Pixel fans are done forgiving Tensor’s underwhelming performance and efficiency

Google Pixel fans are frustrated with the in-house Tensor chip, namely with its under-performance and inefficiency against ...
Deep Learning with Yacine on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
IEEE

Enhanced Network Compression Through Tensor Decompositions and Pruning

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 ...

Google is moving further away from Samsung for its future Tensor chips

Since Google moved to its own Tensor chipsets with the Pixel 6 in 2021, the company has relied heavily on Samsung's Exynos ...
Phys.org

Common feature between forest fires and neural networks reveals universal framework

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...
Phys.org

Friction, speed and surprise: What sets Wimbledon's grass courts apart from clay, hard courts

The grass tennis courts of Wimbledon are among the most recognizable in the world. But despite its fame, grass is one of the rarest surfaces on which tennis is played today; many tennis fans and ...
Frontiers

Corrigendum: Expectation-maximization alternating least squares for tensor network logistic regression

In the original published article, there were typographical errors in mathematical formulas (Equations 58, 59, 73, and 74). The equations were derived and implemented correctly in the computer program ...
Scientific Research Publishing

Singh, S., Pfeifer, R.N.C. and Vidal, G. (2011) Tensor Network States and Algorithms in the Presence of a Global U(1) Symmetry. Physical Review B, 83, Article 115125.

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...