Difference between revisions of "DT's page for Kahn Food project"
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| + | =News= | ||
| + | * François Chollet, Google, @fchollet | ||
| + | :::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 | ||
| + | <br /> | ||
| + | =Reference= | ||
| + | <br /> | ||
| + | * [https://www.smith.edu/kahninstitute/future.php Page for Kahn future projects] | ||
| + | <br /> | ||
| + | =Quotes= | ||
| + | <br /> | ||
| + | * Jacques Pepin, "It's hard to beat bread and butter when you have have very good bread and very good butter." | ||
| + | * Faith Willinger, on Chef's Table Season 1, Episode 1, about Massimo Bottura: "One of the most important ingredients, in his food, is memory." | ||
| + | <br /> | ||
=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 /> | ||
| + | <blockquote> | ||
| + | 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. | ||
| + | </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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</center> | </center> | ||
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| + | <!- ======================================================================== --> | ||
| + | <!- ======================================================================== --> | ||
| + | <!- ======================================================================== --> | ||
=Videos= | =Videos= | ||
| + | <br /> | ||
| + | |||
<br /> | <br /> | ||
{| | {| | ||
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| + | Netflix's Chef's Table, Season 1, Episode 1: Massimo Bottura. | ||
| + | <br /> | ||
| + | <videoflash>1pY6IvkQm2Q</videoflash> | ||
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<videoflash>V1eYniJ0Rnk</videoflash> | <videoflash>V1eYniJ0Rnk</videoflash> | ||
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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 /> | ||
| + | [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] | ||
| + | | | ||
| + | How computers are learning to be creative. Very good intro to how NN work, at 6 minutes 27 sec. | ||
|} | |} | ||
<br /> | <br /> | ||
| + | =Schedule= | ||
<br /> | <br /> | ||
| + | * Options | ||
| + | ** Thursday 5:30 - 8:30 p.m.? | ||
| + | ** Friday lunch + | ||
<br /> | <br /> | ||
| + | =Ideas= | ||
<br /> | <br /> | ||
| + | * MIT food researcher | ||
| + | * Michael Pollan | ||
| + | * Anthony Bourdain, Parts unknown | ||
| + | * Amherst survival center? | ||
<br /> | <br /> | ||
| + | * April 30th, May 1st, major 2-day activities for 2 current Kahn projects | ||
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| − | [[Category:Food]][[Category:Kahn]] | + | [[Category:Food]][[Category:Kahn Institute]] |
