With the advent of OpenAI’s ChatGPT, Microsoft’s Bing Chat, and Google’s Bard, artificial intelligence (AI) and associated terms such as machine learning, neural networks, and deep learning have moved into the mainstream and become key topics of public and political discourse. Machine learning (ML) is one approach to AI, leveraging mathematical models to aid computer learning without direct instruction. Neural networks are a type of machine learning where computers learn to process data in a way that is inspired by the human brain, with deep learning referring to the depth of the layers in a neural network. In case you are still confused, this blog from IBM provides a nice explanation of the terminology. AI/ML has applications in a wide range of industries, from transportation to defense. In this blog, I’ll look at the symbiotic relationships between AI/ML, optical networking technology, and indium phosphide (InP).
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