Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

Detecting hidden pollutants with real-time environmental sensors involves using IoT air-quality monitoring, photonic water sensing, and sensor-network-based hotspot mapping.

Driven by rapid AI and IoT integration, the predictive maintenance market is witnessing transformative growth as industries ...

As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ROAS.

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

The Global RPA Market for Smartphone Manufacturing is growing rapidly due to the need for cost reduction and precision in ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

A look at machine stitching where power meets precision. This process showcases consistent spacing, strong seams, and clean execution on a custom leather panel. #IndustrialSewing #LeatherMachine ...

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

(a) Schematic of the laser nanofabrication system. (b) Simulated and experimentally captured images. N-defocus indicates the focal point below the sample surface, In-focus indicates the sample at the ...

Introduction: Esophageal squamous cell carcinoma (ESCC) is difficult to detect early on white-light endoscopy (WLI) because lesions are subtle and artifacts (such as glare, bubbles, text, tools) mimic ...