Difference between revisions of "DT's page for Kahn Food project"

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<onlydft>
 
<onlydft>
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=News=
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* François Chollet, Google, @fchollet
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:::There's a point to be made that a neural network for food classification that can classify Tide pods as "not food" has already reached superhuman capabilities, Twitter, 6:30 PM - 20 Jan 2018
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=Reference=
 
=Reference=
 
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* [https://www.smith.edu/kahninstitute/future.php Page for Kahn future projects]
 
* [https://www.smith.edu/kahninstitute/future.php Page for Kahn future projects]
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=Quotes=
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* Jacques Pepin, "It's hard to beat bread and butter when you have have very good bread and very good butter."
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* Faith Willinger, on Chef's Table Season 1, Episode 1, about Massimo Bottura: "One of the most important ingredients, in his food, is memory."
 
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=Short Presentation for Kahn=
 
=Short Presentation for Kahn=
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=Recipes=
 
=Recipes=
 
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* [http://news.mit.edu/2017/artificial-intelligence-suggests-recipes-based-on-food-photos-0720 AI suggests recipes based on food photos].<br /> 
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<blockquote>
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Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that analyzing photos like these could help us learn recipes and better understand people's eating habits. In a new paper with the Qatar Computing Research Institute (QCRI), the team trained an artificial intelligence system called Pic2Recipe to look at a photo of food and be able to predict the ingredients and suggest similar recipes.
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</blockquote>
 
* [https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/ibm-watson-learns-to-cook-from-bon-appetit-magazine IBM's Watson Learns to Cook from Bon Appetit Magazine]
 
* [https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/ibm-watson-learns-to-cook-from-bon-appetit-magazine IBM's Watson Learns to Cook from Bon Appetit Magazine]
 
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=Videos=
 
=Videos=
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Netflix's Chef's Table, Season 1, Episode 1: Massimo Bottura.
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MIT's AI System "Pic2Recipe" Predicts recipes from photos | QPT
 
MIT's AI System "Pic2Recipe" Predicts recipes from photos | QPT
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[[Image:NN_birds_blaise_aquera_y_arcas.png | 450px]]<br />
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[https://www.ted.com/talks/blaise_aguera_y_arcas_how_computers_are_learning_to_be_creative/up-next#t-705406 TED talk by Blaise Aquera y Arcas]
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How computers are learning to be creative.  Very good intro to how NN work, at 6 minutes 27 sec.
 
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** Friday lunch +
 
** Friday lunch +
 
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=Ideas=
 
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* MIT food researcher
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* Michael Pollan
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* Anthony Bourdain, Parts unknown
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* Amherst survival center?
 
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* April 30th, May 1st, major 2-day activities for 2 current Kahn projects
 
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Latest revision as of 08:13, 21 April 2018

--D. Thiebaut (talk) 09:20, 7 December 2017 (EST)



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