What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

An artificial intelligence deep learning algorithm is proposed to analyze a dual-polarized high-isolation antenna effectively. The method is a building model of multi-input target characteristics and ...

This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast convergence rate and ...