A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

We also test core inference, benchmarking, multi-turn chat, structured JSON generation, code generation, OpenAI-compatible server mode, and a small retrieval-augmented generation workflow, giving us a ...

Abstract: This tutorial provides a self-contained description of deep learning methodology for denoising, emphasizing aspects that are important in real-world scientific applications. The tutorial ...

What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...

In this tutorial, we explore a novel deep learning approach that combines multi-head latent attention with fine-grained expert segmentation. By harnessing the power of latent attention, the model ...

Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly ...

Deep learning architectures for the classification of images have shown outstanding results in a variety of disciplines, including dermatology. The expectations generated by deep learning for, e.g., ...