I still adhere to the classic definition of AI. AI is anything a machine can do which we would otherwise consider to require "intelligence" in a human to perfo

I still adhere to the classic definition of AI. AI is anything a machine can do which we would otherwise consider to require "intelligence" in a human to perform the task. Optical character recognition, speech recognition, game playing engines, spelling correction, fuzzy pattern matching, semantically-informed lookup and search, image classification and recognition, determining prices and whether to buy or sell... regardless of how you go about accomplishing the task. AI. Since the 1980s certain artificial intelligence applications have become so ubiquitous we don't really think about it that way, as AI, but it is AI in principle. Machine learning, the most tantalizing prospect in AI, of having the machine find a solution without needing to fully specify or even understand the solution, has undergone a great revolution in the last 10 years or so [1]. I continue to be surprised at the efficacy of the technique when used at scale. We use our classic '90s AI stack - IDEs and Wikis and search engines - to construct machine-learning based models that work as context-aware and flexible pattern recognizers and transducers. Which we are now stacking, to achieve tasks like scanning the texts of old books in, translating them into other languages, then synthesizing voices to read them aloud. A person who can do that task, is probably reasonably intelligent. What adjective do we apply to a machine that can do it otherwise? Capable of the simulation of human-like intelligence in the task-domain? [1] https://www.microsoft.com/en-us/research/blog/enabling-cross-lingual-conversations-real-time/ https://www.microsoft.com/en-us/research/blog/enabling-cross... deep learning for translation may 2014 and it goes back further, 1990s