He described the scope of the problem as staggering. The National Center for Missing and Exploited Children said the number of AI-generated child sexual abuse images reported to its cyber tipline ...

If you have been wanting to learn machine learning from an IIT professor without paying a course fee, IIT Madras has just opened that door for 2026. Its popular “Introduction to Machine Learning” ...

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.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

In response to President Trump's April 23 Executive Order on advancing AI education, the United States Department of Education has issued new guidance on how K-12 and higher education institutions may ...

Associate Professor and Associate Director of the Centre for Change and Complexity in Learning (C3L), Education Futures, University of South Australia Since ChatGPT appeared almost three years ago, ...

Summer learning loss, also known as the “summer slide,” represents a significant challenge in education where students experience academic regression during extended breaks from formal instruction.

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

MathWorks is offering probabilistic load flow (PLF) capabilities to enhance system planning solutions for Eversource Energy, a large New England-based energy utility. Eversource built a probabilistic ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...

Membrane permeability is a critical bottleneck in the development of cyclic peptide drugs. Experimental membrane permeability testing is costly, and precise in silico prediction tools are scarce. In ...