top button
    Got Questions

Global IoT Summit 2018
Oct 31, 2018
The Leela Palace, Bangalore

    Connect to us
      Facebook Login
      Site Registration Why to Join

Facebook Login
Site Registration

What is the 'AI winter' and how did it affect AI research?

+1 vote
posted Sep 10, 2018 by Shalini Das

Share this question
Facebook Share Button Twitter Share Button Google+ Share Button LinkedIn Share Button Multiple Social Share Button

1 Answer

0 votes

The “AI winter” was a period of reduced interest in the field of artificial intelligence lasting from the 1980s through the 2000s. This lack of interest led to a lack of funding.

The term was coined by analogy to the hypothesized concept of “nuclear winter” where the fallout from a nuclear war would change weather patterns.

The “winter” has been blamed on several causes: the overhyping of AI research, the interdisciplinary nature of AI and conflicts among university departments, university budget cuts, lack of practical applications for AI research, and cheaper computing products overtaking expensive Lisp machines in performance.

The AI winter of the 1980s was precipitated by failures of “expert systems,” systems that were purported to have decision-making capabilities similar to a human expert. These systems were popular in the 1980s, but they proved expensive and unreliable. This led to the belief that AI research had been overhyped.

answer Sep 11, 2018 by Ashley Thomas