Dr. Purvee Bhatia, from the Mechanical Engineering Department at the University of South Florida, presented the sessions. The first webinar covered the evolution of AI and the distinctions between Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI, as illustrated in the graphic below. Although many of us now use Generative AI for various research questions and writing documents, the industrial manufacturing world uses all these new tools to improve production and system efficiency. Artificial intelligence can be used in continuous operations, predictive maintenance, quality inspections, and eliminating repetitive tasks.
The devil is in the details of developing the emerging AI agents to do various tasks or make decisions without human intervention. AI Agents have three components: input (from sensors, etc.); brains (profiling, memory, knowledge, planning modules), and action (data analytic tools, Information search).
Deep Learning adds the complexity of Neural Networks (multiple layers of interconnected neurons) to model complex patterns in data. They can learn automatically from data features and handle large and complex data sets.
The webinar provided an example of how a simple system could be implemented with existing simple Python programs that use freely available models and test data sets to get started. It also explains how computer vision works with artificial intelligence. The second webinar works through machine learning using transfer learning.
