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A Christmas Menu Dreamed Up by a Robot (bbc.com)
For most of us, using up the Christmas leftovers means endless rounds of turkey sandwiches and lashings of Brussel sprout curry in the days leading up to New Year. So, to help inject some creativity into this year's leftover eat-up, BBC turned to artificial intelligence for some culinary assistance. From a report: A number of research teams around the world have been developing AI systems that are capable of learning from existing recipes and then coming up with some of their own. We asked researchers behind two innovative algorithms to see what their AI's take would be on Christmas food. One, developed by computer scientists at Stanford University, can turn whatever food is left in your fridge into a unique recipe based on those ingredients. The other, created by AI researchers at the University of Illinois, puts a cultural twist on a meal by creating dishes from one country in the style of another cuisine.
The first algorithm, called Forage, uses a type of AI known as deep neural networks, which attempts to replicate the way the human brain works. Networks like these are able to handle problems involving complex data and are increasingly being used to tackle tasks as diverse as controlling self-driving cars and recognising the early signs of cancer in health scans. [...] The second algorithm we used was developed by Lav Varshney and his team at the University of Illinois. It was trained on nearly 40,000 recipes from 20 different countries using a system that can apply semantic reasoning to replace certain ingredients with those it considers to be equivalent from a different cuisine.
The first algorithm, called Forage, uses a type of AI known as deep neural networks, which attempts to replicate the way the human brain works. Networks like these are able to handle problems involving complex data and are increasingly being used to tackle tasks as diverse as controlling self-driving cars and recognising the early signs of cancer in health scans. [...] The second algorithm we used was developed by Lav Varshney and his team at the University of Illinois. It was trained on nearly 40,000 recipes from 20 different countries using a system that can apply semantic reasoning to replace certain ingredients with those it considers to be equivalent from a different cuisine.
Just shut up. The AI bubble needs to pop soon. This is ridiculous.
Just correlating stuff without understanding does not work and can only succeed by chance. Understanding, however, remains firmly in the hands of humans, machines have not even demonstrated they may potentially one day far in the future have any say in that.
Most ACs are not even worth the keystrokes to insult them. Be generically insulted by this and ignored otherwise.
They are still extremely simplified to the point of "assume a perfectly spherocal horse on a sinusoidal trajectory".
The rest is just hype by clueless reporters.
E.g. to actually simulate real neurons, you at the very least need *spiking* neural nets. With realistic response patterns. And the entire neurotransmitter chemistry.
Not just matrices of weights. Not even remotely!
That is why real neural nets perform so much better (about a 100 times better) than simulated ones. And I bet it is also the reason we AI is in perpetual infancy for decades.
https://xkcd.com/720/
How can I believe you when you tell me what I don't want to hear?
If AI systems really worked, why would you apply them to creating recipes, playing Go, and playing Chess? I mean, these morons inputted 40,000 recipes in some form and trained a NN against it. Why? Is there no practical use?
It will be among the best classifiers with minimum error rate.
This classifier is more perfect than the human brain that missclassifies frequently.
The human brain is not a repetitive engine to do the work, the another is.
It didn't 'imagine' jack shit. The nonsense surrounding modern algorithms is getting so very tiresome. Automation is not new, neither are algorithms, and it is not 'intelligence'. I cannot wait for this particular hype to die, such a waste of space that could be occupied by something more interesting to read. Editors? Editors?
Before using them on mission-critical life-support machines.
But yeah, as somebody who actually learned how these things work and know how brains work too: Yes, it is not only far away from real AI. It is far away from real NNs! And not only still, but it deliberately walks into the wrong direction! Mainly due to extremely half-assing it (e.g. not even using spiking NNs!), and IT people with no clue how brains work acting like neurologists.
Leftovers? Why not use something like the reverse recipe maker or one of the bazillions of online utilities like it?
Why do you need AI to tell you what you can make from a few miscellaneous ingredients? I'm all for useful applications of AI, but this is just stupid.
Just cruising through this digital world at 33 1/3 rpm...
The artificial limitation to only being classifiers and to repetitive behavior is exactly why NNs still suck and will always suck as long as that is still the box to think in.
You need to actually allow yourself the mindset of actually creating real life! A new species!
Otherwise you obviously will never get there.
I seem to recall this is exactly what us techies warned about back when the IoT first was suggested.
"Security will be a prime concern" before we do this...did they listen? Of course not! :-P
...for breakfast, humans for lunch and more humans to dinner.
I'm tempted to try it on the ingredient lists from Chopped shows to see what it would come up with. "Your basket has pickled pig lips, squid ink, bitter melon, and kumquats...".
OK, I give up, what the heck is "bread sauce" ?
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