Displaying 295 resources
Mathematical brain modeling
This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).
What is AI?
The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture?
Introduction to Containers with Docker
Lecture by Prof. Lorentzo Carnevale.
Uploaded by Aristotle University of Thessaloniki.
Link to video
e-Symposium 2023: Algorithmic auditing of political biases in recommender systems
External independent and unobtrusive algorithmic audits offer a fresh perspective for understanding AI-based algorithms used in social media and search engines.
Domain Adaptation and Generalization
There is an issue of domain shift in machine learning models, which occurs when models trained on one dataset perform poorly when tested on data from a different source.
Course on Continual Learning (given at ESSAI 2023)
5 lectures on continual learning, given at ESSAI 2023.