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Quote of the day

Just because something doesn’t do what you planned it to do doesn’t mean it’s useless.

 

Thomas Edison

How Facebook's New Machine Brain Will Learn All About You From Your Photos

RATE THIS! +22
Posted in Online on 14th Dec, 2013 12:44 AM by AlexMuller

Facebook users upload 350 million photos onto the social network every day, far beyond the ability of human beings to comprehensively look at, much less analyze.

 

And so that’s one big reason the company just hired New York University (NYU) machine learning expert Yann LeCun, an eminent practitioner of an artificial intelligence (AI) technique known as “deep learning.” As director of Facebook’s new AI laboratory, LeCun will stay on at NYU part time, while working from a new Facebook facility on Astor Place in New York City.

 
“Yann LeCun's move will be an exciting step both for machine learning and for Facebook, which has a lot of unique social data,” says Andrew Ng, who directs the Stanford Artifical Intelligence Laboratory and who led a deep-learning project to analyze YouTube video for Google.
 
“Machine learning is already used in hundreds of places throughout Facebook, ranging from photo tagging to ranking articles to your newsfeed. Better machine learning will be able to help improve all of these features, as well as help Facebook create new applications that none of us have dreamed of yet.” What might those futuristic advances be? Facebook did not reply to repeated requests for comment.
 
Aaron Hertzman, a research scientist at Adobe whose specialties include computer vision and machine learning, says that Facebook might want to use machine learning to see what content makes users stick around the longest. And he thinks cutting-edge deep learning algorithms could also be useful in gleaning data from Facebook’s massive trove of photos, which numbers roughly 250 billion.
 
“If you post a picture of yourself skiing, Facebook doesn’t know what’s going on unless you tag it,” Hertzmann says. “The dream of AI is to build full knowledge of the world and know everything that is going on.”
 
To try to draw intelligent conclusions from the terabytes of data that users freely give to Facebook every day, LeCun will apply his 25 years of experience refining the artificial intelligence technique known as “deep learning,” which loosely simulates the step-by- step, hierarchical learning process of the brain.
 
Applied to the problem of identifying objects in a photo, LeCun’s deep learning approach emulates the visual cortex, the part of the brain to which our retina sends visual data for analysis.

Tags: AImachine learningFacebookdeep learningvisual cortexsocial mediasocial data

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Comments

Author: Guest
Posted: 2013-12-14
+3
This could be very interesting. The effort will combine one of the largest and richest datasets in the world with some of the most powerful and sophisticated computing systems available today
3 Replies
Author: Guest
Posted: 2013-12-14
+0
It seems that Facebook has created a new research laboratory with the ambitious, long-term goal of bringing about major advances in artificial intelligence- we should all benefit! Reply
Author: Guest
Posted: 2013-12-14
+0
The ultimate dream of AI is to build full knowledge of the world and know everything that is going on..... Reply
Reply
Author: Guest
Posted: 2013-12-14
+2
Great success for Facebook in finding one of the world’s leading deep learning and machine learning scientists, Professor Yann LeCun, to lead their new artificial intelligence laboratory
1 Replies
Author: Guest
Posted: 2013-12-14
+0
The access to data from Facebook means that there is tons of data and this needs very fast systems to train models which require serious hardware. Great experts are needed for this! Reply
Reply
Author: Guest
Posted: 2013-12-14
+1
It seems that the ultimate aim of this new AI laboratory is to find out how the actions of individual users change over time and to be able to predict what a user is going to do next
3 Replies
Author: Guest
Posted: 2013-12-14
+2
The payoffs of developing an effective predictive model could be huge. If they are successful, they could have a technology that could effectively predict house prices in advance, or a person's likelihood to click on a specific advert. Impact could be huge Reply
Reply
Author: Guest
Posted: 2013-12-14
+2
For a long time some firms have been using machine-learning models to predict failures in infrastructure and figure out when customers are going to switch to a rival. This new AI laboratory may bring this to a new level Reply


 

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