Elon Musk’s X is the latest social network to roll out a feature to label edited images as “manipulated media,” if a post by ...

An ESA-developed AI system analyzing millions of Hubble images has identified more than 1,300 odd and previously overlooked ...

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

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...

After less than three days of scanning, AnomalyMatch returned a list of likely anomalies. It still requires human eyes at the ...

Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

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

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...