Neuro Symbolic Courses

Markov Random Fields, Markov Chains, and Markov Logic Networks - Probabilistic Graphical Models Tutorial

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Explore Markov Random Fields, Logic Networks, and Chains. Dive into probabilistic graphical models with Professor Simari, covering key concepts and applications in AI and machine learning.

• YouTube
• 44 minutes
• On-Demand
• Free Video

PyReason and Abduction for Trajectory Generation

Explore combining PyReason's annotated logic with abductive inference for robust human movement trajectory generation, countering anomaly detection.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Constraint Satisfaction Problems: Consistency Algorithms - Part 6

Explore consistency algorithms for constraint satisfaction problems in AI, covering formulation, solving methods, and domain splitting.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Reasoning about Object Recognition

Dive into object recognition reasoning, exploring embodied AI and metacognition concepts with insights from an expert in the field of neuro-symbolic artificial intelligence.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Visual Concept Grounding for Lifelong Learning

Explore visual concept grounding for lifelong learning with Yezhou Yang, delving into active perception and cutting-edge AI research at Arizona State University.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Certifying Trustworthy Deep Learning Systems

Explore techniques for certifying trustworthiness in deep learning systems with expert insights from Linyi Li, enhancing AI reliability and safety.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Human-Aware Metacognitive AI - Lecture on Planning with Incomplete Model Knowledge

Explore human-aware planning and metacognitive AI with insights from Sarath Sreedharan, focusing on incomplete model-knowledge and AI-human interaction.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Prosocial LLMs - Advancing Ethical AI Development

Explore pro-social language models with Dartmouth's Soroush Vosoughi, examining their potential for positive societal impact and ethical AI development.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Deep Ontological Networks: An Overview and Implementation

Explore deep ontological networks, focusing on recursive reasoning networks and their applications through an in-depth overview and experimental insights.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Scene Graphs: Overview and Current Research

Explore scene graphs and current research in this field, gaining insights into an exciting area of AI and machine learning.

• YouTube
• 38 minutes
• On-Demand
• Free Video

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video