This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

This course offers three advanced specialization tracks- Artificial Intelligence & Machine Learning, Cybersecurity, and Cloud ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

This paper represents a valuable contribution to our understanding of how LFP oscillations and beta band coordination between the hippocampus and prefrontal cortex of rats may relate to learning.

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

The USA Triathlon has its own traveling village, and it found a picturesque home for its national championships on the shores of Lake Michigan at Veterans Park. Along the glittering water, the tents ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we want these technologies to serve society responsibly, tomorrow’s citizens need ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...