On ANNs in AI

NEURAL NETWORKS

Artificial Neural Networks (ANNs) are foundational to both new and rapidly evolving AI technologies, such as —but not limited to—, Robotics, Vision, Pattern Recognition, Fuzzy Control Systems, e.g., in aerospace technologies, and Machine Learning.  Neurocomputing is also an area of research and a key outcome of the rapid development of ANNs, and —under the recent influence of companies such as IBM— an expansion into Brain-Inspired Computing.

In this lecture, I have compiled a fundamental framework to demystify Neural Networks, how they work and can accomplish and support many learning drills and outsmart the human window of intelligence.

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