Fascinating, Kim. And, Sunita, I like your idea of adjusting the recipes to the tastes of the customer - now that sounds great!
The opportunity to perfect recipes and consistently deliver ingredients that produce flawless cooking/baking sounds great. It certainly seems within the capabilities of Watson, as long as it is fed the right learning tools.
Imagine the ability to customize and/or provide recipes for people on different diets, food allergies, food preferences, etc.
Very good question, Sunita, and I don't know the answer. If machine learning is going to be used for Watson to educate itself on food, you would expect this to happen.
@sarahp, I am also curious to know the receipes tastes ? After winning the game show Jeopardy I will not be surprised if Watson also wins the "Masterchef Australia" title in future.
@Kim, am curious to know if the data is fedback into this system ? For example will the quantified taste data of the dish which it creates fed back into the system ?
We're not really seeing anything close to individualized recipes yet, are we? These are amazing steps, but putting almonds and honey in a croissant...there's a long way to go.
I wonder how good Watson's receipes will be? It seems like since it will be left with a computer, then that will leave an error for bad ideas. I hope that I am wrong, but I think it will be a good while before most of us even have a clue as to what it comes up with in terms of food.
Professional chefs don't have to worry just yet. Watson still can't actually cook. He can come up with recipes, though.
I'm reminded of an earlier IBM prediction: That Watson and his descendants will be able to come up with custom recipes for foods that are both nutritious and delicious, tailored for each individual's biochemistry and taste.
Yes, you could probably get Paula Dean, Emeril, Rachel Ray, and a whole kitchen full of professional chefs (I don't really know that many, hence the short list!) for the price of Watson!
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M2M: Rise of the Machines? Not Yet David Weldon In the 1970 science fiction thriller Colossus: The Forbin Project, two giant supercomputers from the United States and Soviet Union secretly join forces to take control of the collective nuclear might of the two countries. In the film, the two machines discover each other's existence, communicate back-and-forth, share their collective data, and cut their human creators out of the process. It is the ultimate example of machine-to-machine communications, or M2M. CLICK FOR MORE
M2M: Rise of the Machines? Not Yet David Weldon In the 1970 science fiction thriller Colossus: The Forbin Project, two giant supercomputers from the United States and Soviet Union secretly join forces to take control of the collective nuclear might of the two countries. In the film, the two machines discover each other's existence, communicate back-and-forth, share their collective data, and cut their human creators out of the process. It is the ultimate example of machine-to-machine communications, or M2M. CLICK FOR MORE