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MIT Machine Vision System Figures Out What It's Looking At By Itself (gsmarena.com)
MIT's "Dense Object Nets" or "DON" system uses machine vision to figure out what it's look at all by itself. "It generates a 'visual roadmap' -- basically, collections of visual data points arranged as coordinates," reports Engadget. "The system will also stitch each of these individual coordinate sets together into a larger coordinate set, the same way your phone can mesh numerous photos together into a single panoramic image. This enables the system to better and more intuitively understand the object's shape and how it works in the context of the environment around it." From the report: [T]he DON system will allow a robot to look at a cup of coffee, properly orient itself to the handle, and realize that the bottom of the mug needs to remain pointing down when the robot picks up the cup to avoid spilling its contents. What's more, the system will allow a robot to pick a specific object out of a pile of similar objects. The system relies on an RGB-D sensor which has a combination RGB-depth camera. Best of all, the system trains itself. There's no need to feed the AI hundreds upon thousands of images of an object to the DON in order to teach it. If you want the system to recognize a brown boot, you simply put the robot in a room with a brown boot for a little while. The system will automatically circle the boot, taking reference photos which it uses to generate the coordinate points, then trains itself based on what it's seen. The entire process takes less than an hour. MIT published a video on YouTube showing how the system works.
Racism is not tolerated at SlashDot.
"Rip out his tongue"...
Oh wait, it just wanted me to lift the shoe by the tongue!
Whoops. Too late.
Would be to look at itself and ask what it sees.
AI has now attained the sentience level of a bacteria.
Wake me up when it can match wits with a dog.
Yes to this.
It's also counter to common sense. if a white person does something, their race is rarely mentioned at all. "Florida Man" is the meme, not "Florida White Man". If a story doesn't mention race, and you find out the person is black, that's not "Media Code Words" it's just having fair standards for reporting, but people get upset because they've become *used* to race being mentioned in, and only in, stories where the person isn't white.
In fact, if a story omits all mention of race, almost all the time you can conclude the criminal was white, otherwise race would have been mentioned. Attempts at uniform reporting isn't the bias here, it's that race is only mentioned at all when the person isn't white.
The robot in the video has to be manually shown where to hold the shoe (by the lip). It then understands that it should grab all shoes by the lip.
While it's impressive that image recognition is moving into 3D here, the actual 'figuring it our' step seems to be a matter of definition.
I suspect the robot didn't figure out that a cup should be kept upright by itself either. After all, that would mean that the robot somehow concludes that liquids should not be spilled. That would require a much higher level of cognition.
It's the use of vague words that facilitates the rampant spreading of hype. This inflation of what words mean will harm the AI sector in the long run. Just like most mainstream people are now difficult to get excited about any actual innovation in 3D printing field - out collective excitement reservoir has been depleted.
The notion that self driving cars can be classified into 5 levels of self driving prowess has reached quite a large mainstream audience. Perhaps that concept can be extended to all 'AI'.
1. Handy things. Software that automates things, with a well designed internal ruleset.
2. Smart things. Automation via machine learning, can have a level of unpredictability, but only because common sense cannot predict patterns in big data. Should have been called 'machine learning', and algorithms instead of AI.
3. The next level. I have no idea how we will get here, or what to call it. Understanding Algorithms? Might create really complex classifications of the world around it, and infer things form that. Robots actually figuring out the laws of physics, and copying our value system ("don't spill coffee").
4. The level after that. What to call this now that 'smart' is already taken? 'artificial intelligence' would actually be a good name for this level. Perhaps we will see emergent phenomena cognitive phenomena develop out of sheer complexity. I doubt it though.
5. Artificial Consciousness. Systems that have a sense of identity, ethics and 'real' empathy. Perhaps "Sci-Fi AI" is another fun name for this stage.
In fact, if a story omits all mention of race, almost all the time you can conclude the criminal was white, otherwise race would have been mentioned. Attempts at uniform reporting isn't the bias here, it's that race is only mentioned at all when the person isn't white.
Seriously? Maybe if someone is still at large, and reality needs to kick in
Otherwise, it's a "youth".
The technology is still in its infancy, so don't hold your breath for robot maids to empty your dishwasher any time soon.
I dunno, the description from TFA makes it sound a hell of a lot like Structure From Motion systems.
well, unless it's a cop who shoots/assaults/arrests whatever a black person. then they make sure to point it out.
There are two types of articles on AU.
1. Media fluff pieces that say nothing.
2. Deeply technical research papers full of heavy maths.
It would be nice if there were at least some articles aimed at people like Slash Dot readers. That actually contain a useful overview of technologies.
A robot has zero motivation to "pick up" a mug, zero motivation NOT to spill its contents, and zero reason (unless positively programmed to) to not bat the mug across the room. Goals have to be programmed.
This hasn't been true in years. Now most media simply omits the race entirely. And before that, they only omitted 'black', any other race was identified. You're either a decade out of date or just read conservative junk.
>> and realize that the bottom of the mug needs to remain pointing down when the robot picks up the cup to avoid spilling its contents
So it learnt about gravity and fluid dynamics by itself too?
4wdloop
It is programmed humans? I think not it figures it out by itself..
What an improvement over "hundreds upon thousands of images" pumped into a clout GPU farm while you sleep.
Who logs in to gdm? Not I, said the duck.
... are gonna be pretty pissed about this practice of imprisoning robots into rooms with a boot for hours!
So if the system goes apeshit, would you call it, SYCO-DON?
When Fascism comes to America, it will call itself Anti-Fascism, and tell you to give up your guns.
"This hasn't been true in years."
Depends on where you live and the media in question.
Blah, blah de blahblahtechblah blah. More "gee, look what massive advances we are making," tech babble that seems to signify nothing. Just what can it actually do with that? And is it doing it? Probably not. I wait with bated breath for the next "advance."
E Proelio Veritas.
That is because whites are the majority in the US. You don't need to specify something unless it's out of the norm.
If a white person in Nigeria did something, you can bet that they would mention that s/he was white.
And if you follow the link to the endgadget article you hit a morass which tries to engineer you to accept an aol/verizon/yahoo data slurp.
No thank you. Now **** off and go away.
So you are objecting to the term "brown boot" in the summary because if the boot was white they wouldn't mention its colour?
Hot dog...not hot dog.