AI winterとは 意味・読み方・使い方

In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The process of hype, disappointment and funding cuts are common in many emerging technologies (consider the railway mania or the dot-com bubble), but the problem has been particularly acute for AI. The pattern has occurred many times:

• 1966: the failure of machine translation,
• 1970: the abandonment of connectionism,
• 1971−75: DARPA's frustration with the Speech Understanding Research program at Carnegie Mellon University,
• 1973: the large decrease in AI research in the United Kingdom in response to the Lighthill report,
• 1973−74: DARPA's cutbacks to academic AI research in general,
• 1987: the collapse of the Lisp machine market,
• 1988: the cancellation of new spending on AI by the Strategic Computing Initiative,
• 1993: expert systems slowly reaching the bottom,
• 1990s: the quiet disappearance of the fifth-generation computer project's original goals,