Episode 1 - History and Foundational Concepts of Artificial Intelligence and Machine Learning

EP. 1 of 6 part series about Artificial Intelligence. Have you ever wondered what are the origins of artificial intelligence and machine learning? This episode explores the history and foundational principles of AI and machine learning. Purpose is introduce audience to the topic and delve into more details about this technology that is taking the tech world by storm.

Takeaways

• Artificial Intelligence was coined as a term by McCarthy at a Dartmouth Conference in 1956
• Arthur Samuel is a known an early pioneer of machine learning (and also gaming). He coined the term machine learning in 1959.
• Machine learning has been used to solve challenging problems
• Neural network models were used as early as the late 80's as a machine learning technique
• Machine learning has practical applications in various fields including atmospheric chemistry, environmental monitoring, and health outcomes.
• Data assembly, feature selection, algorithm learning, and independent validation are key steps in machine learning process.
• Industry standard terms - Generative AI, Predictive AI, and our host has created a category Robotics/Autonmous Functions for explaining the sensor and autonomous aspects of AI.

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