Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

A few years back, one of us sat in a school district meeting where administrators and educators talked about the latest student achievement results. The news was not good. Students’ test scores hadn’t ...

As global data laws rapidly evolve, staying ahead of regulatory requirements is more crucial than ever. This session will offer an in-depth analysis of the EU AI Act and other key international ...

Welcome to the official repository of my internship journey with PalSoft for AI & Technology Solutions, where I successfully completed the training program titled: "Introduction to Deep Learning with ...

Abstract: Large-scale, high-quality data are considered an essential factor for the successful application of many deep learning techniques. Meanwhile, numerous real-world deep learning tasks still ...

1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...

This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis. The ...

The integration of big data and deep learning in healthcare is rapidly transforming the landscape of medical research, diagnostics, and patient care. Our Research Topic, “Utilizing big data and deep ...