eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

The Deepfake Nudes Crisis in Schools Is Much Worse Than You Thought

An analysis by WIRED and Indicator found nearly 90 schools and 600 students around the world impacted by AI-generated ...

Law enforcement is trying to combat abusive AI. Experts say easier said than done

An Ohio man was convicted of cybercrimes involving obscene AI-generated images of women and children. But experts warn of the ...
IEEE

Semantic Image Clustering with Deep Learning

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...
IEEE

Deep-Learning-Based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities

Abstract: This article comprehensively reviews recent developments and research on deep learning-based (DL-based) techniques for integrated sensing and communication (ISAC) systems. ISAC, which ...