05 Oct 20
This post explores whether we can ever trust machine-learned models for critical things, such as flying an airplane, driving a car, or algorithmic stock market trading.
17 Oct 09
An AI Winter is a collapse in the perception of artificial intelligence research. The term was coined by analogy with the relentless spiral of a nuclear winter: a chain reaction of pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. It first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the “American Association of Artificial Intelligence”). Two leading AI researchers, Roger Schank and Marvin Minsky, warned the business community that enthusiasm for AI had spiraled out of control and that disappointment would certainly follow.
Second part of the very good article about having more data vs. better algorithms