Explore how AI can revolutionize manufacturing quality inspections in this 44-minute talk by Neurala CTO Anatoli Gorchet. Discover the potential of Deep Neural Networks (DNNs) and Lifelong DNNs (L-DNNs) to process data rapidly and provide actionable insights for manufacturers adapting to Industry 4.0 and pandemic challenges. Learn about machine vision vs. neural networks, data requirements for quality inspection, and strategies to overcome the theory of catastrophic forgetting. Gain valuable knowledge on selecting the best quality inspector, handling changing conditions, and maintaining continuous 24/7 operations in manufacturing environments.
What Kind of AI Can Help Manufacturing Adapt to a Pandemic
Overview
Syllabus
Intro
The World Has Changed
Quality inspection requirements
Machine Vision vs Neural Networks
Selecting the Best Quality Inspector
What kind of Data Do We Need?
What Data Does DNN Need for Quality Inspection?
Sufficient Data for All Classes Before Training
Theory of Catastrophic Forgetting at a Glance
What If the Conditions Changed?
What about Continuous 24/7 Operation?
Taught by
Open Data Science
