Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Discover how deep learning–based de-noising enhances X-ray inspection—producing clearer images and reducing false results.

Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at the ...

High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...

Abstract: Fire hazards have been a source of huge losses in households, industries, and public places. The conventional fire safety system integrates embedded systems such as sensors and ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Abstract: In a world where timely and accurate diagnosis of pneumonia is paramount, the advent of deep learning and computer vision technologies presents a transformative opportunity. Pneumonia ...

(CNN) — The CNN poll conducted by SSRS was designed to offer a deep-dive look at the different types of independents that make up this critical group in American politics. (CNN) — The CNN poll ...

(CNN) — The CNN poll conducted by SSRS was designed to offer a deep-dive look at the different types of independents that make up this critical group in American politics. The survey was conducted ...