Abzu's Pioneering Technology, the QLattice, Introduces a New Standard of Interpretability to Artificial Intelligence

Explore Abzu's QLattice, a groundbreaking explainable AI technology, in this GOTO Copenhagen 2021 conference talk. Delve into the core principles of the QLattice, inspired by Richard Feynman's work on path integrals, and discover how it searches through an infinite number of possible models to find optimal solutions. Follow along as AI Engineer Jaan Kasak demonstrates the power of this technology using Abzu's Python library Feyn® in a Jupyter notebook. Learn how to predict and explain outcomes in a heart failure case study, understand the importance of inverse problems, and gain insights into the future of interpretable artificial intelligence. This presentation offers a unique perspective on advancing data analysis and adaptive systems, showcasing their potential to revolutionize various industries.

Intro
QLattice: Secure, high-performing, easy-to-use simulator
Heart failure case study
Problem 1: How do we predict a fatal outcome?
Problem 2: How do we explain the diagnosis?
Demo
Why is inverse important?
Demo