A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Technological advances and an erosion of trust have transformed the way news unfolds online, distorting shared reality.

Travel misery was set to continue Sunday as a powerful snowstorm blasted southern US states, bringing subzero temperatures to ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

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 ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.

Abstract: For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and the number ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...