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 ...

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 ...

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 ...

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 ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

Precise classification of finger movements is essential for effective hand gesture recognition, as it facilitates reliable control across multiple degrees of freedom. Surface electromyography (sEMG) ...

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 ...

Abstract: The goal of this article is to explore the strategy of athletes' action recognition and optimization based on deep learning (DL), so as to improve the accuracy and real-time performance of ...

Accurate gait-phase identification in children with Cerebral Palsy (CP) constitutes a pivotal prerequisite for evidence-based rehabilitation. Addressing the precise detection of gait disturbances ...

New York City’s largest group of public defenders is calling on the city to investigate the NYPD’s use of facial recognition technology, which it says has led to several false arrests. In a letter ...

Weeds and crops contribute to a endless resistance for similar assets, which leads to potential declines in crop production and enlarged agricultural expenses. Conventional models of weed control like ...

Abstract: Human action recognition systems are essential technologies used in many applications, including monitoring older adults and patient activities in healthcare, improving security systems by ...