When first encountered with the idea of computer-generated recipes, I assumed the result would be home cook-friendly. If the recipes were the result of science, and not art, then surely the average cook would be able to follow the recipe.
第一次听到电脑生成食谱的想法时,我觉得这可能给家庭烹饪带来更多方便。如果这些食谱是基于科学而非艺术,那么厨师当然可以根据这些食谱来做饭。
“Cognitive Cooking with Chef Watson,”by IBM and the Institute of Culinary Education, proves my assumptions wrong.
但是IBM和烹饪教育学院一起出版的《沃森大厨的认知烹饪》证明我之前想的似乎并不对。
The book contains more than 65 original recipes that were created partially by a cognitive computer named Watson, which IBM created in 2011 to answer questions on Jeopardy, and partially by chefs at ICE, an award-winning immersive culinary school in New York.
这本书中包含了超级电脑沃森以及位于纽约的烹饪教育学院共同创作的65道食谱。沃森是IBM公司2011年发明的那台在智力竞猜电视节目《危险边缘》中回答问题的电脑。
First, how does Watson work? Here is very simplified version: Data scientists at IBM loaded it up with thousands of recipes and a database of food chemical compositions. They then “taught”Watson known food pairings, like rosemary and potatoes, so it could learn how the chemicals of foods interact, to create those tasty pairings. Then they gave him a list of known favorites like roasted chicken to keep him from reinventing the wheel.
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