Researchers have developed a novel deep-learning architecture that generates high-quality synthetic images of rare land covers to eliminate bias and drastically improve the accuracy of environmental ...

Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Biopharmaceutical artificial intelligence startup Owkin Inc. said today it’s making a series of autonomous agents focused on drug discovery and research available to the broader healthcare industry, ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...

Background: Accurate segmentation and classification of carotid plaques are critical for assessing stroke risk. However, conventional methods are hindered by manual intervention, inter-observer ...