IEEE

Speaker-Independent Phoneme-Based Automatic Quranic Speech Recognition Using Deep Learning

Abstract: An automatic speech recognition system is important to help Muslims recite the Holy Quran accurately. Most existing research ignores a wide range of potential users (reciters) in their ...
The Cheat Sheet

How Val Kilmer’s Illness Led a Director to Use AI for ‘As Deep as the Grave’

Val Kilmer died in 2025, but fans might still get to see him in 'As Deep as the Grave' using AI technology. Here's what the film director said about the opportunity. “He was the actor I wanted to play ...
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 ...
Hartford Courant

A CT grocery chain is using a facial recognition system. It triggered debate on AI security systems.

With residents this month debating use of facial recognition systems at some Connecticut grocery stores, state lawmakers from both parties plan to look into stopping that technology from being used in ...
LinkedIn

Machine Learning and Deep Learning: Differences, Types & Certification Guide

Artificial intelligence is often thrown around as a catch-all term, but the real magic happens in the nuances between its two most powerful subsets. If you have ever wondered why a chess computer ...
Nature

An integration of deep learning models for effective classification of human activity patterns in disabled people using gesture analysis

Human activity recognition (HAR) has numerous applications due to its widespread use of procurement tools, such as smartphones and video cameras, and its ability to capture data on human activity. HAR ...
LinkedIn

The Evolution of AI: From Machine Learning to Deep Learning

Artificial Intelligence (AI) is no longer just a futuristic concept. It is a reality shaping how we live, work, and connect every single day. From Alexa answering your questions to Netflix ...
Nature

Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance

The challenge of providing independent living for elderly and disabled individuals is a critical societal concern. Accurate human activity recognition (HAR) is core to allow the development of context ...
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 ...