Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
Medical Xpress

Deep-frozen brain region restarts electrical activity after thawing

Researchers at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Uniklinikum Erlangen have succeeded in preserving brain tissue through extreme deep freezing. After thawing, the neurons ...
Scientific Research Publishing

A Multi-Modal Approach for Arabic Sign Language Gesture Recognition Using Deep Learning ()

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...
The New York Times

How ICE Already Knows Who Minneapolis Protesters Are

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
IEEE

Edge-Enabled Human Activity Recognition Using Hybrid Deep Learning and Multi-Sensor Wi-Fi CSI Arrays

Abstract: Recent advances in wireless sensing have positioned Wi-Fi Channel State Information (CSI) as a promising modality for human activity recognition (HAR), offering a cost-effective and ...
IEEE

Accurate Fitness Activity Recognition Based on IMU Sensors Using Deep Residual Bidirectional Gated Recurrent Unit Network

Abstract: This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques. We propose a ...