How many AI winters have you lived through? The term refers to the period of time after a ‘hype cycle’, the pattern of interest, investment and subsequent funding cuts to research into artificial intelligence. Hype cycles are common in the tech industry — the dotcom bubble of the 1990s serves as one example — but AI has a particularly volatile history, beginning in the 1960s with the failure of machine translation, then experiments by Darpa...
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