Facebook's AI Unlocks the Ability To Search Photos By What's in Them (techcrunch.com) 62
An anonymous reader shares a TechCrunch report: Initially used to improve the experience for visually impaired members of the Facebook community, the company's Lumos computer vision platform is now powering image content search for all users. This means you can now search for images on Facebook with keywords that describe the contents of a photo, rather than being limited by tags and captions. To accomplish the task, Facebook trained an ever-fashionable deep neural network on tens of millions of photos. Facebook's fortunate in this respect because its platform is already host to billions of captioned images. The model essentially matches search descriptors to features pulled from photos with some degree of probability.
Still Not AI (Score:3, Insightful)
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Re:Still Not AI (Score:5, Funny)
Probably a good thing it's not too intelligent. Can you imagine if google was a person, the kind of sanity destroying crap it would have to deal with? Facebook's poor AI will be bombarded by dubious requests.
Re:Still Not AI (Score:4, Insightful)
Probably a good thing it's not too intelligent. Can you imagine if google was a person, the kind of sanity destroying crap it would have to deal with? Facebook's poor AI will be bombarded by dubious requests.
My opinion of the average Facebook user is about as high as my opinion of people on AOL back in the 90s. If it were a full fledged AI there is no doubt that the assumption it drew from its average sampling of humans would definitely make it go SkyNet on all of us.
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Yes, and it's pretty hilarious.
If Google was a guy [youtube.com]
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It's not worth arguing with them. 10 or 20 years ago being able to classify an image would have been AI to them.
They'll be moving the goal posts long after NOT AN AI driving cars are talking them to their doctors appointments where a NOT AN AI does diagnostics on them.
Their brains will be in a vat living on mechanically and they'll argue that it's not *true* AI.
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there is technical AI and there is marketing AI
technical AI cannot keep up with the marketing AI.
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Re: Appeal to authority (Score:1)
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Have you ever taken AI class in college? What do you think they teach you, how to develop conscious robots?
I have. Machine Learning and AI were separate courses. In the Machine Learning course you get a lot of practical shit and some theory.
In the AI course you get a lot of theory and some practical shit. Terms like "neural net" and "deep learning" are bandied about and there's talk about current research working to simulate a brain to some degree or use organic/fuzzy computing of some sort to mimic the brain's functions. On the practical side, it's all just the same "machine learning" shit from the previous
Re: Still Not AI (Score:1)
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Scotsmen are... intelligent. :) (Score:2)
It's not AI unless it's (A)rtificial and (I)ntelligent. You'll know when it's intelligent. Because it'll exhibit actual characteristics of intelligence. Not the ability to filter images based on content.
But go ahead, keep calling your toaster and your thermostat intelligent. It's very amusing. Despite the fact that it's not very... intelligent.
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True story:
A few years back, sometime overnight, a new cat I had rescued peed in my toaster.
In the morning, dull witted and bleary eyed, I threw a couple slices of rye bread in there, and pushed down the lever. The heating elements immediately vaporized the cat urine, while altering it chemically into something that smelled so bad I could not possibly adequately describe it.
As I reeled out of the room coughing and gagging, I actually thought I heard that toaster laughing at me.
I think that damed burst of va
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I installed Kissup 2.0 on it. It's lying to you. Nor does it make very good toast.
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There is NO formal agreed-upon definition of AI and experts, philosophers, and pundits argue forever and ever over it. Givvittup.
Re: agreed upon formal definitions (Score:2)
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Re: Still Not AI (Score:1)
30% of the human brain is dedicated to the human visual system. Each eyeball has 100 million rods and cones and does basic data compression using contrast measurement of each point and its surroundings (red-hreen, blue-yellow, black-white). Add some more neurons to detect lines and points in varying directions and you have enough information to do shape recognition, motion tracking, depth perception, automatic face, text, font, object and location recognition. Get a computer to do all those and you have bio
So, (Score:1)
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This site is so pro-Trump it isn't even funny. You need some real editors that are impartial and don't have an agenda to push.
Gee, that must by why Slashdot has this one editor who relentlessly promotes coal. Whenever a story mentions coal in any way, he posts it.
1K (Score:2)
It would be even easier if ... (Score:2)
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It's actually a perfectly reasonable action - bizarely, for the sake of privacy. The embedded information in images can include when and where it was taken, which is information that could be used against a person.
Facebook want to spy on you. But it is not in their interests to aid other organisations or individuals in spying on you. Not without paying Facebook for the information, anyway.
two girls and a cup? (Score:1)
gets a hit?
mmmm, brazile nuts and chocalate.
Facebook catching up to old Google features (Score:1)
Google Photos has quietly done this for years. It's documented on their help pages:
https://support.google.com/photos/answer/6128838?co=GENIE.Platform%3DAndroid&hl=en
The example search is for "dogs," but it can find many more things. It's distractingly documented next to a face/person-tagging feature, but it really does do Zork-like search queries for recognized objects, or relationships among objects, within your photos.
It's too bad Google demonstrated they couldn't be trusted to run a social
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Google Photos has quietly done this for years.
Not the same thing. Google Photos only lets you search your own images for machine guessed labels, not the images of everyone.
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Their other product, "Google Search", lets you search the images of everyone.
Yes, but those do not, as far as I know, have machine generated tags based on image analysis, only tags based on the filename, alt text and other text in pages that link to it. I.e. it won't find a dog picture if it's labeled "cat", and nothing in the text on any pages references it uses the word "dog" or synonyms.
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http://www.thepoultrysite.com/... [thepoultrysite.com]
Yeah, but the data it's given to work with (Score:1)
like... Google Photos? (Score:2)
Seriously, this is news? Google and others have had this for years.
new improved twist-top spinach can (Score:2)
Intelligence, by any definition, is the ability to spot the word "unlock" in the story summary while ignoring the word "AI".
Because we don't have "unlocks" every day, but we do have this tiresome "what the fuck is AI, anyway?" shit show more often than Popeye eats E. coli tainted spinach.
New improved can, same old dubious irrigation method.
Does it stand a chance against the Ostrichinator? (Score:2)
CognitionX (Score:1)