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Ideas to monetize new artifical intelligence

news.ycombinator.com

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Re: Ideas to monetize new artifical intelligence

#71

Post by marcus »

hhm wrote: post #66
jkush wrote: post #61

Earlier quoted context omitted.

We'll all look like fools if we cry "bullshit" and you happen to be right. But we'd look like even bigger fools if we just took your word for it.

I think we have to do neither; if he's clever (and if he's done what he claims, he surely is) he's not trying for us to take his word for it, or for us to say he's a great genius and all that. He's just looking for a way to monetize his discovering, and I think it's right.

From my experience genius isn't a boolean thing, people can be brilliant in somethings and horrible in other things. I try to acknowledge my limitations and ask for help in the things I suck at.

Re: Ideas to monetize new artifical intelligence

#72

Post by brent »

Kaizyn wrote: post #27
marcus wrote: post #17

Earlier quoted context omitted.

Thats the problem disclosing the algorithm is something I'd rather avoid. I don't mind sharing it with a company for a licensing fee as long as I don't have to public domain it.

Then don't disclose the algorithm or collect the $1 million. If your algorithm really is good, demonstrate it by 'winning the prize', but rather than claiming the money and turning your algorithm over to Netflix sell it to someone. You're really wasting your time with the stock market though. Technical analysis is just silly.

I couldn't agree more. Based on the quality of the teams at the top, if you beat their algorithms you have proven you have something particularly special. I think you'll easily be able to sell it for more than $1 million.

Re: Ideas to monetize new artifical intelligence

#73

Post by marcus »

tx wrote: post #62
Retric wrote: post #4

Patent and publish it. CAD is not limited by the algorithm so much as a lack new problems. However, if you can generate a little buzz you can become a consultant / start a consultant company. PS: Many machine learning systems can trade off accuracy for efficiency so you might look into increasing efficiency vs. accuracy for some existing application.

This is what's wrong with our patent system. Imagine if all those great minds who came up with theorems you had to learn in 4-6 years of college decided to patent them. Math should not be patentable. It's a crime.

Actually most of them have been dead for a long time so it wouldn't really matter, but I agree with you some things should not be patentable.

On the other hand imagine a world without patents and you'd probably get a world fill with trade secrets and that is even worse, at least a patent guarantees that the idea will pass to the public domain after a certain period. Would the world benefit if technology was segmented and kept secret like the coca-cola formula?

But seriously that is a great discussion for different thread.

Re: Ideas to monetize new artifical intelligence

#74

Post by marcus »

pcowans wrote: post #58

Can you give any specific examples (references to academic papers) you've already tested it on and shown an improvement - no need to give details if you don't feel you can, but it would be interesting to know which tests you've done and against which existing algorithms.

KDD 2006 cup http://www.cs.unm.edu/kdd_cup_2006

My algorithm scored 2.043 19 on tasks 1 & 2 Top 3 places 1: 1.35 1.28 1.27 Top 3 places 2: 13.58 13.56 13.44 Note these scores represent 5 different teams.

Re: Ideas to monetize new artifical intelligence

#75

Post by robg »

marcus wrote: post #55
hhm wrote: post #49

Who are you? Maybe you can't speak a lot about your discovering, but you can at least tell what your name is and how you got to this?

My name is Avi Marcus, I am a 29 year old, semi retired (sold my previous startup ) hacker from Israel. Started programming at 8, started CS in college when I was 13. Flunked out because I was bored at 15. Always been interested in artificial intelligence, but a year and a half ago I read a book on the way the human brain works and suddenly I had a vision of something programmers missed in all of the machine learning…

Going out and winning the Netflix prize and/or KDD and refusing to release your code would bring you the best tests (and biggest paying customers) because of the publicity. I actually can't think of a better and faster way of building a business around machine learning. Beat the best teams in the world as an individual and you won't have to worry about how to make money any more.

Re: Ideas to monetize new artifical intelligence

#76

Post by mrtron »

Dating site matching?

There are a zillion ways to monetize it. The real question is can you successfully do so. What about selling an appliance similar to google search, but instead is your predictive technology. Make a public api for people to test it, and then sell the hardware option.

Re: Ideas to monetize new artifical intelligence

#77

Post by pixcavator »

marcus wrote: post #68
henning wrote: post #64

Earlier quoted context omitted.

It's tempting to be a tool vendor, but unfortunately there are many established tool people. You don't even know the names, most likely, of all the little neural network toolkit companies that flopped in the early-mid 90s. It's better to use a new technology to create a complete solution for people.

The problem with building a complete solution is that it usually requires a lot of investment and domain specific knowledge. Having a better algorithm offsets a lot of it but I am not sure I could write a better CAD (computer assisted diagnosis) software on my own in a reasonable time frame that will outperform the market leaders even if using their data I can improve their results by 50%. There is just too much scie…

Funny, I have the exact same dilemma with my image analysis algorithm...

Re: Ideas to monetize new artifical intelligence

#79

Post by yubrew »

marcus wrote: post #68
henning wrote: post #64

Earlier quoted context omitted.

It's tempting to be a tool vendor, but unfortunately there are many established tool people. You don't even know the names, most likely, of all the little neural network toolkit companies that flopped in the early-mid 90s. It's better to use a new technology to create a complete solution for people.

The problem with building a complete solution is that it usually requires a lot of investment and domain specific knowledge. Having a better algorithm offsets a lot of it but I am not sure I could write a better CAD (computer assisted diagnosis) software on my own in a reasonable time frame that will outperform the market leaders even if using their data I can improve their results by 50%. There is just too much scie…

Subject matter expertise can be hired, as employees, or as advisors to your company. For this type of start up, you not only need a team to build out the product end users will ultimately use (an expensive endeavor in and of itself), but you also need to gain credibility from experts and get published before doctors will look at your stuff.
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