Genetic Programming Courses and Certifications

ACM SIGPLAN

Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming

Explore a novel approach to Grammar-Guided Genetic Programming using data types as a frontend, offering improved ergonomics and expressive power while maintaining performance in various applications.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Steve Brunton

Python Symbolic Regression - Physics Informed Machine Learning

Explore Python Symbolic Regression for physics-informed machine learning. Learn algorithm basics, historical context, and PySR tool benefits for discovering interpretable mathematical models from data.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Dave Churchill

Introduction to Artificial Intelligence (2021-09)

Explore AI fundamentals through algorithmic techniques, search methods, game theory, evolutionary computing, and reinforcement learning with hands-on game applications.

• YouTube
• 1 day 3 hours 43 minutes
• Self-Paced
• Free Video

USENIX Enigma Conference

Classifiers Under Attack: Evasion Techniques and Defensive Strategies

Exploring vulnerabilities in machine learning classifiers for security applications, demonstrating evasion techniques, and discussing methods to enhance robustness against adversarial attacks.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

IEEE

Is "Adversarial Examples" an Adversarial Example?

Explore adversarial examples in deep learning, their implications for security, and strategies for defense in this thought-provoking IEEE keynote by David Evans.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Strange Loop Conference

Software for Programming Cells

Exploring software for programming cells, including molecular circuits and genetic devices. Demonstrates a tool chain for characterizing genetic parts and compiling molecular programs into DNA.

• YouTube
• 37 minutes
• Self-Paced
• Conference Talk

Dave Churchill

Intro to Artificial Intelligence - Evolutionary Computing - Lecture 11

Explore evolutionary computing techniques for AI problem-solving, including genetic algorithms and their applications in optimization and game AI.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Dave Churchill

Introduction to Artificial Intelligence (2020-09)

Explore AI fundamentals through agents, search algorithms, game theory, genetic algorithms, reinforcement learning, and neural networks with hands-on programming assignments.

• YouTube
• 1 day 3 hours 4 minutes
• Self-Paced
• Free Video

Inside Livermore Lab

Physics Informed Machine Learning through Symbolic Regression

Explore symbolic regression for identifying PDE models from scarce, noisy data. Compare with Physics-Informed Neural Networks and discuss applications in fault detection and system health prognostics.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Automated Quantitative Trait Locus Analysis - CGSI 2023

Explore automated quantitative trait locus analysis using machine learning. Learn about genetic architecture, feature engineering, and Pareto optimization for biodata mining and complex trait analysis.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Adversarial Intelligence in Natural and Artificial Systems

Explore the dynamics of adversarial intelligence through genetic programming and coevolutionary algorithms, focusing on designing competitive AI agents and simulating strategic rivalries.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Abstraction and Evolution with Large Language Models

Explore how large language models enhance genetic programming through concept-guided evolution, with applications in symbolic regression and image classification demonstrated through practical examples.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Evolutionary Machine Learning in Engineering Design - Day 4 Morning

Explore evolutionary machine learning techniques for automated design of circuits, neural networks, and antennas, combining AI with evolutionary computing for unique engineering solutions.

• YouTube
• 2 hours 40 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Beyond Transformers - New Sequence Processing Architectures - Day 6 Morning

Explore cutting-edge sequence processing architectures that go beyond transformers, featuring evolutionary algorithms for automated design of neural networks and AI systems.

• YouTube
• 3 hours 33 minutes
• Self-Paced
• Free Video

ACCU Conference

Teach Your Computer to Code FizzBuzz

Interactive workshop on evolutionary algorithms, using Java to implement solutions for FizzBuzz. Covers biological evolution concepts, JCLEC framework, and Genetic Programming for evolving source code and automatic bug fixing.

• YouTube
• 56 minutes
• Self-Paced
• Conference Talk