Harnessing Chaos and Predicting the Unpredictable with Artificial Intelligence
Offered By: Santa Fe Institute via YouTube
Course Description
Overview
Explore the cutting-edge intersection of chaos theory and artificial intelligence in this Santa Fe Institute Community Lecture. Delve into how Reservoir Computing, a specialized artificial neural network, harnesses chaotic dynamics to predict unpredictable systems like weather and brain activity. Learn about the limitations of traditional machine learning methods in forecasting chaotic systems and discover how a novel approach combining knowledge-free prediction with knowledge-based models dramatically improves forecasting capabilities. Gain insights from physicist Michelle Girvan as she discusses the potential of these innovative techniques to push the boundaries of prediction in complex systems across various scientific disciplines.
Syllabus
SFI Community Lecture - Michelle Girvan
Taught by
Santa Fe Institute
Tags
Related Courses
Big Data Analytics in HealthcareGeorgia Institute of Technology via Udacity Model Building and Validation
AT&T via Udacity Maths for Humans: Linear, Quadratic & Inverse Relations
University of New South Wales via FutureLearn Regression Modeling in Practice
Wesleyan University via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera