Enhancing Neural Networks with Logic Based Rules

Build smarter, more explainable systems using Neuro-Symbolic AI

Discover how blending deep learning with logic-based rules through Neuro-Symbolic AI leads to more transparent, controlled, and trustworthy AI systems. This hybrid approach combines the pattern recognition power of neural networks with the structure and reasoning of symbolic logic to deliver better performance and interpretability.

Through real-world examples and a live walkthrough, you’ll explore how Neuro-Symbolic AI is transforming machine learning workflows across industries. Whether you’re working in finance, healthcare, or automation, this session will help you understand where and how to apply this powerful technique.

What We Will Cover:

• Understand the value of combining logic with neural networks to enhance AI decision-making
• Explore use cases in domains like healthcare, finance, and automated reasoning
• Compare symbolic reasoning with deep learning to understand their strengths and trade-offs
• See a step-by-step demo of a model guided by rule-based logic
• Learn how this approach increases transparency, safety, and reliability in predictions
• Get practical resources to start applying Neuro-Symbolic AI in your own projects
• Interactive Element: Through a hands-on demo and Q&A, you’ll gain actionable insights into applying Neuro-Symbolic AI in real-world scenarios and leave ready to build interpretable, logic-enhanced models.