Hinton, G.; Deng, L.; Yu, D.; Dahl, G.; Mohamed, A.; Jaitly, N.; Senior, A.; Vanhoucke, V.;
Nguyen, P.; Sainath, T.; Kingsbury, B. (2012). "Deep Neural Networks for Acoustic Modeling
in Speech Recognition – The shared views of four research groups". IEEE Signal
Processing Magazine. 29 (6): 82–97. Bibcode:2012ISPM...29...82H (https://ui.adsabs.harvar
d.edu/abs/2012ISPM...29...82H). doi:10.1109/msp.2012.2205597 (https://doi.org/10.1109%
2Fmsp.2012.2205597). S2CID 206485943 (https://api.semanticscholar.org/CorpusID:20648
5943).
Holley, Peter (28 January 2015). "Bill Gates on dangers of artificial intelligence: 'I don't
understand why some people are not concerned'" (https://www.washingtonpost.com/news/t
he-switch/wp/2015/01/28/bill-gates-on-dangers-of-artificial-intelligence-dont-understand-why
-some-people-are-not-concerned). The Washington Post. ISSN 0190-8286 (https://search.w
orldcat.org/issn/0190-8286). Archived (https://web.archive.org/web/20151030054330/https://
www.washingtonpost.com/news/the-switch/wp/2015/01/28/bill-gates-on-dangers-of-artificial-
intelligence-dont-understand-why-some-people-are-not-concerned) from the original on 30
October 2015. Retrieved 30 October 2015.
Hornik, Kurt; Stinchcombe, Maxwell; White, Halbert (1989). Multilayer Feedforward Networks
are Universal Approximators (http://cognitivemedium.com/magic_paper/assets/Hornik.pdf)
(PDF). Neural Networks. Vol. 2. Pergamon Press. pp. 359–366. Archived (https://web.archiv
e.org/web/20230421140436/https://cognitivemedium.com/magic_paper/assets/Hornik.pdf)
(PDF) from the original on 21 April 2023. Retrieved 5 October 2024.
Horst, Steven (2005). "The Computational Theory of Mind" (http://plato.stanford.edu/entries/com
putational-mind). The Stanford Encyclopedia of Philosophy. Archived (https://web.archive.or
g/web/20160306083748/http://plato.stanford.edu/entries/computational-mind) from the
original on 6 March 2016. Retrieved 7 March 2016.
Howe, J. (November 1994). "Artificial Intelligence at Edinburgh University: a Perspective" (http://
www.inf.ed.ac.uk/about/AIhistory.html). Archived (https://web.archive.org/web/20070515072
641/http://www.inf.ed.ac.uk/about/AIhistory.html) from the original on 15 May 2007.
Retrieved 30 August 2007.
IGM Chicago (30 June 2017). "Robots and Artificial Intelligence" (http://www.igmchicago.org/sur
veys/robots-and-artificial-intelligence). igmchicago.org. Archived (https://web.archive.org/we
b/20190501114826/http://www.igmchicago.org/surveys/robots-and-artificial-intelligence)
from the original on 1 May 2019. Retrieved 3 July 2019.
Iphofen, Ron; Kritikos, Mihalis (3 January 2019). "Regulating artificial intelligence and robotics:
ethics by design in a digital society". Contemporary Social Science. 16 (2): 170–184.
doi:10.1080/21582041.2018.1563803 (https://doi.org/10.1080%2F21582041.2018.156380
3). ISSN 2158-2041 (https://search.worldcat.org/issn/2158-2041). S2CID 59298502 (https://
api.semanticscholar.org/CorpusID:59298502).
Jordan, M. I.; Mitchell, T. M. (16 July 2015). "Machine learning: Trends, perspectives, and
prospects". Science. 349 (6245): 255–260. Bibcode:2015Sci...349..255J (https://ui.adsabs.h
arvard.edu/abs/2015Sci...349..255J). doi:10.1126/science.aaa8415 (https://doi.org/10.112
6%2Fscience.aaa8415). PMID 26185243 (https://pubmed.ncbi.nlm.nih.gov/26185243).
S2CID 677218 (https://api.semanticscholar.org/CorpusID:677218).
Kahneman, Daniel (2011). Thinking, Fast and Slow (https://books.google.com/books?id=ZuKTv
ERuPG8C). Macmillan. ISBN 978-1-4299-6935-2. Archived (https://web.archive.org/web/20
230315191803/https://books.google.com/books?id=ZuKTvERuPG8C) from the original on
15 March 2023. Retrieved 8 April 2012.
Kahneman, Daniel; Slovic, D.; Tversky, Amos (1982). "Judgment under uncertainty: Heuristics
and biases". Science. 185 (4157). New York: Cambridge University Press: 1124–1131.
Bibcode:1974Sci...185.1124T (https://ui.adsabs.harvard.edu/abs/1974Sci...185.1124T).