AI & ML

The Brightwork AI Reference Page

Executive Summary

  • This is a reference page for articles Brightwork Research & Analysis has used in our research.

Introduction

This is a page of references on interesting AI articles, videos etc..

References

Having a quotation listed here should not be viewed as an endorsement of the source. Some sources are listed because they contain false information, but they were used as a source. This was done to explain the understanding of a topic in the market as evidenced by the article. 

https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464

https://www.amazon.com/What-Computers-Still-Cant-Artificial-ebook/dp/B002XQ21X8

https://www.theverge.com/2019/3/5/18251326/ai-startups-europe-fake-40-percent-mmc-report

https://www.technologyreview.com/s/612768/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed-next/

https://www.technologyreview.com/s/612072/artificial-intelligence-is-often-overhypedand-heres-why-thats-dangerous/

https://medium.com/@mijordan3/artificial-intelligence-the-revolution-hasnt-happened-yet-5e1d5812e1e7

https://www.youtube.com/watch?v=efR1C6CvhmE

https://www.reddit.com/r/artificial/comments/ziw60/what_was_gofai_and_why_did_it_fail/

https://en.wikipedia.org/wiki/John_von_Neumann

https://www.technologyreview.com/s/546116/what-marvin-minsky-still-means-for-ai/

https://simple.wikipedia.org/wiki/Ontology

https://en.wikipedia.org/wiki/Phenomenology_(philosophy)

https://en.wikipedia.org/wiki/Hubert_Dreyfus%27s_views_on_artificial_intelligence

https://www.theguardian.com/technology/2018/jul/25/ai-artificial-intelligence-social-media-bots-wrong

https://www.nytimes.com/1958/07/08/archives/new-navy-device-learns-by-doing-psychologist-shows-embryo-of.html

http://approximatelycorrect.com/author/zack/

https://www.forbes.com/sites/cognitiveworld/2020/02/23/this-ai-researcher-thinks-we-have-it-all-wrong/#14bc9694571e

https://en.wikipedia.org/wiki/Hubert_Dreyfus

https://www.youtube.com/watch?v=5m8Xvoig5WI

http://www.ai.mit.edu/projects/humanoid-robotics-group/cog/overview.html

https://en.wikipedia.org/wiki/Genetic_algorithm

https://timesmachine.nytimes.com/timesmachine/1958/07/08/83417341.pdf

https://www.nytimes.com/2020/01/31/health/pharmacists-medication-errors.html

https://mattstoller.substack.com/p/how-cvs-became-a-health-care-tyrant

https://www.forbes.com/sites/joemckendrick/2020/01/30/forget-the-roi-with-artificial-intelligence-decision-making-will-never-be-the-same/#6f9b3b213f7f

https://towardsdatascience.com/the-future-of-data-is-fake-694d2aa0d3d5

https://thenextweb.com/syndication/2017/12/28/data-scientists-frauds-according-data-scientist/

https://www.forbes.com/sites/gilpress/2019/07/01/big-data-is-dead-long-live-big-data-ai/#206e4ac11b05

https://www.forbes.com/sites/gilpress/2014/12/03/the-end-of-the-hadoop-bubble/#668a859a3ca2

https://link.springer.com/article/10.1007%2Fs10699-016-9489-4

https://www.wired.com/2008/06/pb-theory/

https://www.oreilly.com/data/free/being-a-data-skeptic.csp

https://www.amazon.com/Rebooting-AI-Building-Artificial-Intelligence-ebook/dp/B07MYLGQLB

https://www.amazon.com/You-Look-Like-Thing-Love-ebook/dp/B07PBVN3YJ/

https://towardsdatascience.com/is-data-science-really-a-science-9c2249ee2ce4

https://en.wikipedia.org/wiki/Science

https://en.wikipedia.org/wiki/Data_science

https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124

https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/#ee628ab55cfc

http://radar.oreilly.com/2011/05/data-science-terminology.html

https://www.nytimes.com/2009/12/15/science/15books.html

https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century

https://www.statisticsviews.com/details/feature/5133141/Nate-Silver-What-I-need-from-statisticians.html

https://blogs.wsj.com/cio/2014/05/02/why-do-we-need-data-science-when-weve-had-statistics-for-centuries/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058759/

https://datascientists.com/our-history/

https://towardsdatascience.com/why-so-many-data-scientists-are-leaving-their-jobs-a1f0329d7ea4

https://en.wikipedia.org/wiki/Solar_eclipse_of_May_29,_1919

https://www.youtube.com/watch?v=vF4DENWd_ts

https://www.youtube.com/watch?v=yuD34tEpRFw

https://towardsdatascience.com/why-so-many-data-scientists-are-leaving-their-jobs-a1f0329d7ea4

https://www.predictiveanalyticsworld.com/machinelearningtimes/the-death-of-big-data-and-the-emergence-of-the-multi-cloud-era/10527/

https://en.wikipedia.org/wiki/Google_Text-to-Speech

https://www.independent.co.uk/news/business/robots-amazon-delivery-artificial-intelligence-technology-a9264036.html

https://www.youtube.com/watch?v=XJqsdprXF5c

https://www.youtube.com/watch?v=3-KMXng5Cp0

https://www.youtube.com/watch?v=O90PShJVu58

https://www.pbs.org/video/in-the-age-of-ai-zwfwzb/

https://www.quora.com/Should-I-quit-machine-learning-I-used-to-find-it-exciting-before-it-was-cool-but-now-I-find-it-unexciting-and-boring-Since-deep-learning-is-the-future-should-anyone-with-no-interest-in-deep-learning-quit

https://venturebeat.com/2019/10/30/ibm-ai-will-change-every-job-and-increase-demand-for-creative-skills/

https://www.quora.com/Is-it-safe-to-use-Grammarly

https://www.grammarly.com/privacy-policy

https://producthabits.com/how-grammarly-quietly-grew-its-way-to-7-million-daily-users/

https://www.youtube.com/watch?v=rgUGJDMSG1E

https://hackernoon.com/what-is-wrong-with-grammar-checking-tools-three-main-problems-and-how-to-fix-them-50835ca654d9

https://mondaynote.com/the-arpus-of-the-big-four-dwarf-everybody-else-e5b02a579ed3

https://www.marketingcharts.com/advertising-trends-77000

https://wccftech.com/why-does-facebook-make-so-much-more-money-per-user-versus-snapchat-or-twitter/

https://money.com/how-much-facebook-makes-off-you/

https://digiday.com/marketing/facebooks-making-money-per-user-north-america-ever/

https://mondaynote.com/mark-zuckerberg-thinks-were-idiots-638c64dfab12

https://www.brightworkresearch.com/scmfocuspress/forecasting/promotions-forecasting/

https://www.theverge.com/2019/8/9/20798900/marvin-minsky-jeffrey-epstein-sex-trafficking-island-court-records-unsealed

https://web.media.mit.edu/~minsky/

https://en.wikipedia.org/wiki/Marvin_Minsky

https://en.wikipedia.org/wiki/Artificial_neural_network

https://www.scribd.com/article/401160340/Stop-Saying-exponential-Sincerely-A-Math-Nerd

https://www.theguardian.com/technology/2016/feb/03/marvin-minsky-obituary

https://en.wikipedia.org/wiki/Frank_Rosenblatt

https://www.vanityfair.com/news/2017/03/elon-musk-billion-dollar-crusade-to-stop-ai-space-x

https://medium.com/@windycityn0velist/musk-misses-the-stories-you-dont-hear-about-tesla-anymore-8dfce1d803d2

https://www.ccn.com/elon-musks-backtrack-tesla-robotaxi-claim-securities-fraud/

https://www.latimes.com/business/autos/la-fi-hy-tesla-musk-annual-meeting-shareholders-20190611-story.html

https://medium.com/@hypergiant/is-neural-network-hype-killing-machine-learning-120041406f1

https://www.kdnuggets.com/2017/08/37-reasons-neural-network-not-working.html

https://www.analyticsinsight.net/neural-networks-not-answer-everything/

http://neuralnetworksanddeeplearning.com/chap5.html

https://builtin.com/data-science/disadvantages-neural-networks

https://towardsdatascience.com/ants-and-the-problems-with-neural-networks-778caa73f77b

https://towardsdatascience.com/neural-networks-problems-solutions-fa86e2da3b22

https://en.wikipedia.org/wiki/Backpropagation

https://www.youtube.com/watch?v=t81HiFOqbAs

https://en.wikipedia.org/wiki/Computing_Machinery_and_Intelligence

https://www.the-scientist.com/magazine-issue/artificial-intelligence-versus-neural-networks-65802

https://www.youtube.com/watch?v=aircAruvnKk

https://www.youtube.com/watch?v=S3Y-TeLKMP8

https://www.youtube.com/watch?v=ILsA4nyG7I0

https://www.youtube.com/watch?v=Suevq-kZdIw

https://www.bbc.co.uk/teach/ai-15-key-moments-in-the-story-of-artificial-intelligence/zh77cqt

https://www.forbes.com/sites/cognitiveworld/2019/10/20/are-we-heading-for-another-ai-winter-soon/#3fb8536256d6

https://en.wikipedia.org/wiki/Lighthill_report

https://www.newscientist.com/article/dn16306-us-investigation-into-gravity-weapons-nonsense/

https://towardsdatascience.com/probability-of-an-approaching-ai-winter-c2d818fb338a

http://www.chilton-computing.org.uk/inf/literature/reports/lighthill_report/p004.htm

https://www.theguardian.com/technology/2018/jul/25/ai-artificial-intelligence-social-media-bots-wrong

https://www.kurzweilai.net/

https://www.siliconrepublic.com/machines/marvin-minsky-ai-predictions

https://en.wikipedia.org/wiki/Perceptrons_(book)

https://www.newyorker.com/news/news-desk/is-deep-learning-a-revolution-in-artificial-intelligence

https://www.edge.org/conversation/marvin_minsky-remembering-minsky

https://paw.princeton.edu/article/lives-marvin-minsky-54

https://www.quora.com/Whats-Marvin-Minskys-view-on-deep-learning

https://www.quora.com/What-was-Marvin-Minsky-wrong-about

https://www.newyorker.com/magazine/1981/12/14/a-i

https://www.quora.com/Why-does-Marvin-Minsky-hate-Noam-Chomskys-linguistic-theories