In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

In the field of hazardous chemical transportation, safety is of utmost importance. The consequences of an accident can be ...

According to the team, the combination of inks and artificial intelligence (AI) demonstrates how packaging can accurately ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

To meet urgent net-zero goals, the global energy system is shifting from fossil fuels to renewable sources such as solar and wind. Because these ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

Rising Researcher Honored with 2025 Dr. C. V. Raman Excellence in Education Award for Pioneering AI and Cybersecurity ...

The study links genetic variation to honeybee sociability, revealing insights into food-sharing behavior and its evolutionary ...

Opeyemi Adeniran, an AI researcher, has hinted on an AI-powered solution for early detection of Alzheimer’s disease through accurate MRI analysis. According to a statement, she asserts that the ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...