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Artificial Intelligence and Machine Learning in Manufacturing: An Overview Speaker

Artificial Intelligence and Machine Learning in Manufacturing: An Overview Speaker

Speaker: Ram Sriram – Gaithersburg, MD, United States
Topic(s): Applied Computing

Abstract

Artificial Intelligence (AI) is concerned with the development of computer programs that emulate the intelligence of humans, i.e., AI is deeply concerned with the understanding of human problem-solving strategies and incorporating (or simulating) these strategies into computer programs. Since the 1950s, when the term AI was coined, there has been considerable progress in this area. The 1980s was dominated with the rise of knowledge-based systems, which is also called “the first wave.” Advancements in computer hardware facilitated multilayered neural networks, which led to significant improvements in machine learning for certain classes of problems in 2000s. This was the “second wave.” Now, we are witnessing the “third wave,” which will include a combination of neural networks and knowledge structures. In the talk, I will provide a brief overview of AI methods and discuss how these methods can be used to address problems in the Manufacturing sector. Topics will include: the derivation-formation spectrum of problem solving, knowledge-based expert systems, neural networks and other machine learning techniques, and their applications in Manufacturing (Big M).

About this Lecture

Number of Slides: 60 - 80
Duration: 60 minutes
Languages Available: English
Last Updated:

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