Science

A new benchmark and AI framework aim to improve the detection and explanation of false claims circulating in the increasingly popular world of micro-videos.

New research demonstrates how artificial intelligence can optimize worker allocation in fast-paced warehouse environments.

A new optimization framework leverages advanced duality theory to eliminate problematic orders and ensure stable revenue in day-ahead electricity trading.

A new study reveals the anxieties surrounding generative AI in high school education, highlighting a growing disconnect between student and teacher perspectives.

A new deep learning model, DeepFAN, shows promise in assisting radiologists to more accurately assess incidental pulmonary nodules in CT scans, potentially leading to earlier cancer detection.

Researchers are proving that streamlined generative AI models can produce high-fidelity network traffic, offering a powerful new approach to data augmentation and improved classification.

A new wave of deep generative models is offering solutions to challenges in cardiac MRI, from data scarcity to patient privacy.

New research explores how transformer-based models can learn to strategically explore complex problems, mimicking the planning inherent in human reasoning.

A new study leverages the power of convolutional neural networks to automatically classify stars that dim and brighten due to orbiting companions.

A new study highlights the importance of strategically designed back markings for reliably identifying individual pigs using computer vision and machine learning.