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We've also been using the term Machine Learning for a long time to try to avoid this. Using "AI" where "ML" would suffice is just trying to cash in on recent hy
by nerdponx 3y ago
We've also been using the term Machine Learning for a long time to try to avoid this. Using "AI" where "ML" would suffice is just trying to cash in on recent hype for clicks.
Still an interesting result of course.
- fluidcruft 3y agoMy understanding is "ML" came into existence after the term "AI" became an untouchable and disrespectful dirty word in academia after a previous hype cycle went bust. Statisticians wouldn't be caught dead working on "AI". See also xkcd purity scale (435).
- Kye 3y agoIt looks like machine learning took over in the 2010s after a long convergence starting in the 2000s. https://books.google.com/ngrams/graph?content=artificial+intelligence%2Cmachine+learning&year_start=1800&year_end=2019&corpus=en-2019&smoothing=3 https://books.google.com/ngrams/graph?content=artificial+int... This is from published books, so probably less affected by popular narratives. For that, we have Google Trends! It looks like they trade places repeatedly when constrained to news searches: https://trends.google.com/trends/explore?cat=5&date=all_2008&geo=US&gprop=news&q=%2Fm%2F01hyh_,%2Fm%2F0mkz&hl=en https://trends.google.com/trends/explore?cat=5&date=all_2008...
- nerdponx 3y agoRight. ML is less likely to arouse emotions in either direction.
- 6D794163636F756 3y agoIt's also a refinement on the term. AI can include a lot while ML is much more specific.
- jjcon 3y agoNot really though it may seem that way. Not all AI is ML. There are a ton of things within AI such as planning algorithms or Expert Systems. Again those are under the academic discipline of AI but not in the subfield of ML.