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Facebook's AI lab

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Re: Facebook's AI lab

#71
post #37
post #11

Earlier quoted context omitted.

I beg to differ. They still publish papers and big names in academia are often consultants or receiving grants from private industry. And according to LeCun he will remain as professor at NYU and run his research lab from NYU. He will serve as director and lead researcher.

I beg to differ. How many people are they teaching in person these days?

He dropped the neural networks class he was slated to teach in the spring, as far as I know.

I wouldn't be surprised if, at this point, his work split 90% FB, 9% NYU Center for Data Science, 1% NYU CS.

Re: Facebook's AI lab

#72
post #70
post #32

Earlier quoted context omitted.

Could you post some bullet points of what was said there? Would be really appreciated by everyone I'm sure!

Unfortunately I didn't make it to his talks - was in other workshops where it would have been impolite to leave. Did get to see him as he was walking off stage though! More relevantly, though, many of my collaborators did attend the deep learning workshop, so I'll grill them about the details over dinner and post about it!

That would be interesting. I used to be involved with NIPS in the late 1990s, but have crossed paths with LeCun on and off since then. He's an amazing talent, with tremendous breadth.

Re: Facebook's AI lab

#73
post #47

Earlier quoted context omitted.

Umm what do you think google's revenue is based on?

Google's mission is "Dont be evil". They have since crossed this line, and will again. I do not trust google either.

If you consider selling ads and complying with the appropriate authorities when compelled to "evil", that is.

Re: Facebook's AI lab

#74
post #11
post #3

Wow. With Hinton at Google and LeCun at Facebook, industry has definitely been pulling some big names away from academia.

I beg to differ. They still publish papers and big names in academia are often consultants or receiving grants from private industry. And according to LeCun he will remain as professor at NYU and run his research lab from NYU. He will serve as director and lead researcher.

You are mistaken.

LeCun is now running a high profile lab for a $100B company. He's got the personal attention of the founder. He's only going to be at NYU as a talent conduit. It's not the same as Hinton's arrangement at all.

Re: Facebook's AI lab

#75
post #50

Earlier quoted context omitted.

Really changes the phrase 'those who can't do teach'.

That sassy phrase (Those who can, do; those who can't, teach.) is irritating to me. Now I'm not casting judgement on anybody who _does_ find it entertaining, or useful, but for what it's worth, the _original_ phrase is: Those who know, do; those who understand, teach. -Aristotle.

How do you feel about this?[1] I scoured the internet looking for something to the contrary, but couldn't find anything that positively attributed your quote to Aristotle, or even anything that suggests it predated Shaw's.

[1] http://answers.yahoo.com/question/index?qid=20100823190727AA...

Re: Facebook's AI lab

#76
post #74
post #11

Earlier quoted context omitted.

I beg to differ. They still publish papers and big names in academia are often consultants or receiving grants from private industry. And according to LeCun he will remain as professor at NYU and run his research lab from NYU. He will serve as director and lead researcher.

You are mistaken. LeCun is now running a high profile lab for a $100B company. He's got the personal attention of the founder. He's only going to be at NYU as a talent conduit. It's not the same as Hinton's arrangement at all.

I am not mistaken. Clearly I never said he would be teaching all the time. He even said he was going to remain as professor on a part time basis.

Pulling someone to industry doesn't stop one from contributing back to the field. This is what they do, what people actually care about. In fact, if you are a big player in a field, you spend most of your time conducting your research and running a lab, not teaching classes. This is the norm and half of the famous professors I had barely ever come to lecture, only the TA would show up (some schools are strict on this though, like MIT). And I often tell people if you want real good solid education, especially for an undergraduate, don't attend big player's lecture. Your TA or your average not-so-well-known professor can be more helpful.

Re: Facebook's AI lab

#77
post #10

The AI facebook has today is already freaky to me at times... while I love any new advancement in AI, these advancements will probably not be used in my interests.

Yann deals with Machine Learning. His specialty (simplified) was pattern recognition in images (first handwriting then objects).

I'd imagine projects that group similar topics (i.e. these people are all in front of the Great Pyramids or these people are all taking pictures of their babies) which probably will help group/filter content

Re: Facebook's AI lab

#78
post #16
post #11

Earlier quoted context omitted.

I beg to differ. They still publish papers and big names in academia are often consultants or receiving grants from private industry. And according to LeCun he will remain as professor at NYU and run his research lab from NYU. He will serve as director and lead researcher.

Oh man that guy was my machine learning professor at NYU :) Sparked my interested in Lisp, but now I seem to recall that he wrote all the problem examples in his own language.... Lush. Even so, all my knowledge of Lisp syntax and neural nets stems from his bad-ass lectures

He switched it up to torch last year (framework built on top of lua).

I don't think the Neural Net library was quiet what it was in Lush, but it was getting there.

Re: Facebook's AI lab

#79
random thoughts on this announcement

I took Yann's ML class during the first semester of my program at NYU two years ago. It was a terrible experience, given that I hadn't worked with linear algebra or mathematical statistics since about 2008. I could barely write Python at the time, so my Lush code was some ungodly non-functional crap. That said, I'm very happy I took the class in 2011 despite hyperventilating my way through the final--it was only offered once more, and I suspect it will never be offered again given today's news.

Yann really knows his stuff. His convolutional nets (and their application to MNIST and image segment classification) represented a significant improvement in computer vision, and he demoed some incredible low-latency image segmentation stuff for us. He runs one of the best neural net labs in the world (up there with Hinton's and Bengio's), and he has some incredible students at NYU. I can see this shaping up as a delayed acquihire of sorts...he will not struggle to find excellent candidates.

There's a lot of discussion around the privacy implications, but I think everyone's rehashing old points. Facebook already hires excellent researchers and data scientists -- John Myles White and Sean Taylor just moved out west -- but they don't focus on images just yet, from what I know. This hiring represents an investment in image analysis on Facebook's behalf that matches what they put into unstructured textual data and graphical inference. If you've already stayed with Facebook through the "graph search" announcement, this shouldn't surprise you either.

As someone interested in this type of work, it's an exciting time to live in New York City. Finance and adtech have been here forever, but things have expanded. Many startups (Foursquare, Tumblr, Knewton, Etsy) have invested in applied statistics and machine learning, hiring excellent researchers and engineers. Columbia and NYU have announced data science initiatives in the last 6 months. Very smart people (and others, like me ;) ) are very active in the community here.

There are some obvious applications of Yann's work to Facebook's advertising goals:

> Identifying strong friendships through co-occurrence in photos

> Digit or character recognition applied to marketing in photos (shop signs, brands, etc)

> Image segment classification (e.g. beach, park, road) for use in predicting a photo's location (for those uploaded after the fact)

> All the Instagram photos. I mean seriously. They're committed to making ads seamless--why not use image segmentation + likes to identify photographic structures people are attracted to?

Can anyone think of others?

Re: Facebook's AI lab

#80

random thoughts on this announcement I took Yann's ML class during the first semester of my program at NYU two years ago. It was a terrible experience, given that I hadn't worked with linear algebra or mathematical statistics since about 2008. I could barely write Python at the time, so my Lush code was some ungodly non-functional crap. That said, I'm very happy I took the class in 2011 despite hyperventilating my wa…

Facebook has a known, established history of carrying out large-scale, intrusive personal surveillance. Imagine if I said "NSA already hires excellent researchers and data scientists ..." We don't legitimize NSA that way, so why do we legitimize it for Facebook? Does something become morally acceptable just because it is done for money?
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