An interesting computer science read: "Final Jeopardy" by Stephen Baker. It's an account of IBM's massive project to build Watson, the computer system that defeated two human champions on the game show "Jeopardy." My key takeaway is that there are two approaches to artificial intelligence, and they're both hard.
You can simulate human-like reasoning with something like a neural network -- hard because it requires vast processing power
Or you can "teach" a computer system myriad rules and bits of information -- hard because it requires lots of people to spend lots of time.
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