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YouTube has also presented advocacy campaigns through special playlists featured on YouTube Kids, including "#ReadAlong" (a series of videos, primarily featuring kinetic typography) to promote literacy, [12] "#TodayILearned" (which featured a playlist of STEM-oriented programs and videos), [13] and "Make it Healthy, Make it Fun" (a ...
BrainPop (stylized as BrainPOP) is a group of educational websites founded in 1999 by Avraham Kadar, M.D. and Chanan Kadmon, based in New York City. As of 2024, the websites host over 1,000 short animated movies for students in grades K–8 (ages 5 to 14), together with quizzes and related materials, covering the subjects of science, social studies, English, math, engineering and technology ...
"The best way to learn a language is to massively ingest it, by listening and reading. Listening and reading are so powerful. If you can read the books, you know the language. To get to know a language takes a lot of time and a lot of interacting with it — and a lot of that time has to be on your own.
SHRDLU is an early natural-language understanding computer program that was developed by Terry Winograd at MIT in 1968–1970. In the program, the user carries on a conversation with the computer, moving objects, naming collections and querying the state of a simplified "blocks world", essentially a virtual box filled with different blocks.
In Japanese theaters, foreign-language movies, except those intended for children, are usually shown in their original version with Japanese subtitles. Foreign films usually contain multiple Japanese-dubbing versions, but with several different original Japanese-dubbing voice actors, depending upon which TV station they are aired.
Computer Chronicles (1983 - 2002) Triumph of the Nerds: The Rise of Accidental Empires (1996) Nerds 2.0.1: A Brief History of the Internet (1998) Halt and Catch Fire (2014 - 2017) Commodore 64; Macintosh 128K; NeXT Computer; Silicon Valley (2014 - 2019) Valley of the Boom (2019) The IT Crowd (2006-2013)
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Natural language understanding (NLU) or natural language interpretation (NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem.