Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

We open source e3d: Efficient Methods for 3D Deep Learning, a repository containing our recent advances in efficient 3D point cloud understanding. [2020-08] Please check out our ECCV 2020 tutorial on ...

Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...

Abstract: Spatio-temporal data like a Dynamically Weighted Directed Network (DWDN) are ubiquitous in bigdata applications like an intelligent recommender system. They commonly illustrate the complex ...

Jon has been an author at Android Police since 2021. He primarily writes features and editorials covering the latest Android news, but occasionally reviews hardware and Android apps. His favorite ...

A rising figure of Generation Z, Emma Ellingsen has established herself as a key figure in the world of makeup on social media. Born in 2001 in Norway, this transgender influencer and model is now ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

Abstract: Accurate fault diagnosis of wind turbine (WT) gearbox is important for developing effective maintenance strategies. Multilayer perceptron (MLP)-based fault diagnosis models have achieved ...

MSANet is a specialized deep learning framework designed for multispectral data analysis in agricultural applications. The framework integrates dual attention mechanisms with 3D convolutional neural ...