Neuro Symbolic Courses

Language Agents with LLMs - Evolutionary Step in Artificial Intelligence

Explore language agents as a critical evolutionary step in AI, focusing on LLM research and its implications for advancing artificial intelligence capabilities.

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

Quick and Dirty Introduction to Neurosymbolic AI

Explore the intersection of symbolic methods and deep learning in AI, covering algorithms, Python packages, and progress towards AGI in this comprehensive introduction.

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

Probabilistic Circuits - Lecture on Advanced AI Techniques

Explore probabilistic circuits with YooJung Choi, delving into advanced AI concepts at the intersection of symbolic methods and deep learning.

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

Abductive Learning: From Neural Networks to New Concepts

Explore abductive learning through key papers, covering concepts, new developments, and related research in neuro-symbolic AI. Gain insights into this exciting field at the intersection of symbolic methods and deep learning.

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

Human-Centered Explainable AI

Explore human-centered explainable AI with Professor Mark Reidl, focusing on key concepts, latest research, and practical applications in this emerging field of artificial intelligence.

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

Inductive Logic Programming with Differentiable ILP - A Review of the 2018 Paper

Explore neurosymbolic approaches to Inductive Logic Programming, covering key concepts, architectures, and experimental results from a seminal 2018 paper.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Reasoning with Language Agents

Explore symbolic reasoning using language model agents in this talk by Prof. Swarat Chaudhuri. Gain insights into cutting-edge research at the intersection of AI and symbolic methods.

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

Neural Network Introspection - Approaches from Machine Learning and Knowledge Representation

Explore AI introspection approaches from ML and KR perspectives, covering ICNs, generative vs. discriminative models, and concept induction for enhanced machine learning understanding.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Defining a Search Problem in AI

Explore classic AI search algorithms, from uninformed to advanced techniques, with insights on problem-solving strategies and heuristic development.

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

Multi-Modal, Pre-Trained Models in Verifiable Sequential Decision-Making - Metacognitive AI

Explore multi-modal, pre-trained models in verifiable sequential decision-making for metacognitive AI, focusing on latest advancements and applications in artificial intelligence.

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

Assured Machine Learning: A Theoretically-Grounded Framework for High-Stakes Domains

Explore a theoretically-grounded framework for assured machine learning in high-stakes domains, focusing on the intersection of symbolic methods and deep learning.

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

Deep Distillation and Explainable Neural Networks (ENNs) - Lecture

Explore neurosymbolic architecture ENN, its bottom-up training, and deep distillation with Milo Lin. Gain insights into explainability, biological inspiration, and practical applications.

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

Ideas on Conducting Experiments in AI and ML

Explore various experimental approaches in AI and ML, focusing on methodologies used in cutting-edge research and practical applications.

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

Accountable LLMs - Metacognitive Intervention Through Sparsity

Explore metacognitive intervention for accountable LLMs through sparsity. Gain insights into cutting-edge research at the intersection of symbolic methods and deep learning.

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

Introduction to Abductive Inference in AI

Explore abductive inference in AI, covering basic concepts, types, and applications. Learn about geospatial abduction, probabilistic horn abduction, and its use in perception.

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