Honeywell Kitchen Computer in 1969 · “In 5 years, computers will know what you like to eat...
Transcript of Honeywell Kitchen Computer in 1969 · “In 5 years, computers will know what you like to eat...
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Honeywell Kitchen Computer in 1969
Source: https://www.wired.com/2012/11/kitchen-computer/
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IBM’s Chef Watson @ SXSW
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“In 5 years, computers will know
what you like to eat
better than you do.”---Prof. Lav Varshney in 2012
Source: IBM 5 in 5: Taste (2012)
![Page 5: Honeywell Kitchen Computer in 1969 · “In 5 years, computers will know what you like to eat better than you do.”---Prof. Lav Varshney in 2012 Source: IBM 5 in 5: Taste (2012)](https://reader035.fdocuments.in/reader035/viewer/2022070817/5f135e0ad567a34057766267/html5/thumbnails/5.jpg)
The key research question after
IBM’s Chef Watson has been
“Personalization of taste”
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Yoshiki Ishikawa, PhD
Food for well-being:
Personalization of Taste
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MasaData scientist
Project Members
MatsushimaChef
VarshneyProfessor
YoshikiPrincipal investigator
ShoData visualization designer
MinamiNutrition Scientist
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Personalization of taste
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How might we 1) locate where we are
in the galaxy of food and
2) navigate from where we are to new
frontier?
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You are here
New frontier
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Two key challenges for personalization of taste
1) Locate where we are
2) Navigate the galaxy
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What’s your image of lunchbox?
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Source: https://thefoodinista.wordpress.com/2010/07/19/preschool-packed-lunch-week-in-review/
Peanut butter and
jelly sandwich
Fruit
Vegetable
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Bacon
Asparagus
Egg / Olive oil
Dashi
Spinach
Rice
Seaweed (Nori)
Carrot
Tuna
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Input Outputf(x)
AsparagusBacon
Olive oilRice
SeaweedTuna
CarrotEgg
DashiSpinach
My son
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How might we create
such “galaxy of food”?
My son
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Steps for creating the galaxy of food
1) Collect recipe data around the world
2) Vectorize ingredients and country
3) Visualize the vectors in 3 dimensions
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You are here
To make the story simple,
let’s transform 3D into 2D.
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Japanese
IndianFrench
Southern US
Italian
Mexican
Chinese
Spanish
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Input Outputf(x)
99.9 %
AsparagusBacon
Olive oilRice
SeaweedTuna
CarrotEgg
DashiSpinach
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This expandable system can
also identify your food style
from small data set.
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Input Outputf(x)
Your recipes in a past
week/monthYour style
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Two key challenges for personalization of taste
1) Locate where we are
2) Navigate the galaxy
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Japanese
IndianFrench
Southern US
Your style
Italian
Mexican
Chinese
Spanish
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What if our family
moves to Austin?
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Source: https://thefoodinista.wordpress.com/2010/07/19/preschool-packed-lunch-week-in-review/
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Japanese
???
Southern US
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― Japan + Southern US = ???
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AsparagusBacon
Olive oilRice
SeaweedTuna
CarrotEgg
DashiSpinach
Originallunchbox(Japan)
AsparagusBacon
Olive oilRice
SeaweedTuna
CarrotEgg
DashiSpinach
Step 1Replaceableingredients
Step 2Alternativeingredients
Flounder fillet
Cornmeal
Chopped pecans
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Japanese
Italian
Southern US
Southern US: 58%
Italian: 38%
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Source: https://thefoodinista.wordpress.com/2010/07/19/preschool-packed-lunch-week-in-review/
What if a family in Austin
moves to Japan?
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Japanese
???
Southern US
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― Southern US + Japan = ???
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Bread
Peanut butter
Jelly
Fruit
Frozen vegetable
Originallunchbox(Austin)
Bread
Peanut butter
Jelly
Fruit
Frozen vegetable
Step 1Replaceableingredients
Step 2Alternativeingredients
Soba noodles
Sea weed
Black sesame seed
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Navigate the galaxy
Original Recipe ― Country A+ Country B = ???
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Can this system help change one’s dietary style
to healthy one?
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Japanese(1970s)
Southern US
Your style
Mediterranean
Japanese(2010s)
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What is the next big research question
regarding personalization of taste?
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100,000 meals problem
“How might we create rich 100,000
meals experience based on our
unique food preference?”
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Yoshiki Ishikawa, PhD
100,000 meals problem:
Fundamental law of cooking
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foodgalaxy.jp