Artificial intelligence (AI) is a buzz-phrase these days. Serious computer scientists and researchers have been known to bemoan the fact that their scholarly academic discipline and work are demeaned in the public mind, primarily on account of being conflated with hackneyed software discussions and superficial literature. In similar vein, AI and related topics – machine learning, deep learning, neural networks, etc. – are now to be found embedded in the utterances and writings of a great many people who have neither heard of the frame problem, nor any idea how gradient descent is related to Newton’s method.
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