Neuro Symbolic Courses

ML Foundations III - Deep Learning

Dive into neural networks, backpropagation, and CNNs to build foundational deep learning skills for AI applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

ML Foundations II - Supervised Learning

Dive into supervised learning fundamentals covering random forests, linear regression, gradient descent, regularization, and SVMs with practical ML applications.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

ML Foundations I - ML Basics

Discover fundamental machine learning concepts from AI distinctions to data preparation, supervised learning, decision trees, MLOps, and performance evaluation techniques.

• YouTube
• 1 hour 44 minutes
• Self-Paced
• Free Video

Creating AI Ideas for Research - How to Generate and Execute Experiments

Discover how to generate innovative AI research ideas and execute experiments effectively in this comprehensive guide to research methodology.

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

Neural Symbolic Co-Routines - ABL and NASR Methods with Abductive Inference

Explore how neural and symbolic AI methods collaborate as co-routines through ABL and NASR techniques, plus learn abductive inference fundamentals in this 35-minute tutorial.

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

Relevance Scoring for Metacognitive AI

Discover methods to identify competence in machine learning models through relevance scoring techniques for metacognitive AI systems in this military academy research presentation.

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

Uncertainty in LLM Explanations - Understanding Uncertainty from Reasoning Topology

Explore uncertainty in large language model explanations through reasoning topology analysis in this 17-minute research presentation from METACOG-25.

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

Metacognitive LLM for Scientific Discovery

Explore metacognitive Large Language Models for feature optimization and scientific discovery, focusing on symbolic regression techniques presented by Chandan Reddy from Virginia Tech.

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

Probabilistic Foundations of Metacognition via Hybrid AI

Discover a new probabilistic theory of metacognition through hybrid AI, explaining experimental results at the intersection of symbolic methods and deep learning.

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

PyReason ML Integration Tutorial - Binary Classifier

Learn how to integrate machine learning classifier models with PyReason in this tutorial, with access to full code examples and comprehensive resources for implementation.

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

What is the "Meta" in Metacognition?

Explore Andrea Stocco's keynote on metacognition, examining the "meta" component through neuroscience research, cognitive architecture models, and implications for AI systems capable of self-reflection and perspective-taking.

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

Synthetic Metacognition for Managing Tactical Complexity

Explore synthetic metacognition techniques for managing tactical complexity in AI systems through expert insights from a leading researcher at the Naval Postgraduate School.

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

PyReason and Applications - Logic Programming Platform Research and Applications

Discover PyReason's logic programming platform through three years of research insights and real-world applications in neuro-symbolic AI from Syracuse University.

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

The Hardest Challenge in Neurosymbolic AI - Symbol Grounding

Explore the critical challenge of converting perceptual input into symbols for neurosymbolic AI systems and understand why small ML errors can cause catastrophic failures.

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

Explaining Model Robustness Through Saliency Maps and Natural Robustness Testing

Discover how to explain AI model robustness by combining saliency maps with natural robustness testing using NRTK tools in this 15-minute research presentation.

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