Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
mccormick.northwestern.edu

COMP_SCI 461: Deep Learning for Natural Language Processing

In the first half of this course, we will explore the evolution of deep neural network language models, starting with n-gram models and proceeding through feed-forward neural networks, recurrent ...
EurekAlert!

A survey on insertion/deletion error detection and correction: progress and future directions

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...