Researchers have designed a CNN model that analyzes vibration data for precise detection of beam damage, highlighting advancements in structural health monitoring.

Building a multi-trillion dollar economy. Part 2 of 2 . As a matter of important background, the industrial possibilities ...

Researchers at NIT, Rourkela, have developed the AI-based MCVD model and LFBFPN tool to enhance traffic management in developing nations. Led by Santos Kumar Das, the project tackles mixed traffic ...

Here's what you need to know about DLSS 4 and Multi Frame Generation, a key addition to Nvidia's GeForce RTX 50-series.

With its AI capabilities enabled, the RTX 5090 is the fastest and best-performing graphics card in the world. Can Nvidia's ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange ...

In structural MRI, the signal-to-noise ratio is critical. Discover how denoising algorithms can help to obtain clearer ...

Abstract: Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in ...

New research reveals the concerning impact of AI bias on human judgment. Find out how AI systems can amplify and compound ...

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.

An Effective Cloud Detection Network for Remote Sensing Images. Journal of Computer and Communications, 13, 1-14. doi: 10.4236/jcc.2025.131001 . Optical remote sensing technology is increasingly ...

Research integrates infrared spectroscopy with machine learning to map spectroscopic fingerprints to atomistic structures, ...