A.I. and Robotics Take Another Wobbly Step Forward
CWmike writes to tell us that artificial intelligence and robotics have made another wobbly step forward with the most recent robot from Stanford. "Stair" is one of a new breed of robot that is trying to integrate learning, vision, navigation, manipulation, planning, reasoning, speech, and natural language processing. "It also marks a transition of AI from narrow, carefully defined domains to real-world situations in which systems learn to deal with complex data and adapt to uncertainty. AI has more or less followed the 'hype cycle' popularized by Gartner Inc.: Technologies perk along in the shadows for a few years, then burst on the scene in a blaze of hype. Then they fall into disrepute when they fail to deliver on extravagant promises, until they eventually rise to a level of solid accomplishment and acceptance."
"Here is your stapler," says Stair, handing it to the man. "Have a nice day."
The generals population of AI is the Data, or Terminator. Some how superior to us humans who will not make mistakes. However real AI the computer makes a lot of Mistakes, and learns from them. But being that a standard computer has the brain power of a bug, it isn't surprising that AI meets the hype.
If something is so important that you feel the need to post it on the internet... It probably isn't that important.
"Get him a cell-phone!"
Why, without your clothes, you're naked, Miss Dudley!
Bearing in mind that this new robot is called STAIR, does that mean it is using gradient descent algorithms ?
It's Flexible Frank!
--- Thousands are enslaved every day.
This article both points out the problems of over-hyped advances in robots, while also claiming this robot has transitioned away from narrowly defined domains?
The voice recognition & language processing component alone would be years ahead of anything else if it worked well outside of a "narrow, carefully defined domain". It seems like they are yet again over-hyping new research.
From the article: "Because these small [software] agents don't have a complete representation of the world, they are uncertain about their actions. So they learn to understand the probabilities of various things happening, they learn the preferences [of users] and costs of outcomes and, perhaps most important, they becoming self-aware."
I sure as hell hope they left out the lip-reading module.
Sounds like a few humans I can think of (politicians?) Well, except for that "solid accomplishment and acceptance" part.
Oh, yeah, it's not easy to pad these out to 120 characters.
I for one welcome our new learning, seeing, navigating, manipulating, planning, reasoning, speaking, and natural language processing Stair overlords.
Recent articles on robots.
If you squeeze its chest, does it slap you? If not, they'll just have to take this one back to the drawing board. http://www.youtube.com/watch?v=3l6buDfU9AY
As an undergraduate Computer Engineer who intends to major in AI I would be really interested in knowing if anyone knew whether the companies mentioned in this article (Google, Walmart etc...) actually do hire people with a specialization in AI? And if so how do u get recognized?? Or is it all just copied and pasted from researchers who work in all the Universities they mentioned?
I guess the root of my question is, by pursuing AI are you pushing yourself into becoming an academic for the rest of your life?
And we could call the offspring of STAIR and MASTER...
the enslavement machine!
"Kill 'em all and let Root sort 'em out"
"Stair, please click the 'Print' link so I don't have to see only a third of the short article squeezed into 1/5 of the space on the page," says the man seated at a conference room table. The Stanford Artificial Intelligence Robot, standing nearby, replies in a nasal monotone, "OK, but the print version still wastes most of your screen with white background."
I will like to know how is better than Asimo, or by the way, of any of the advanced Japanese robots
And this happens when? On slashdot, I think this last part of the cycle is purely hypothetical.
Currently hooked on AMP
We are still waiting for V.R. to reemerge from the Hype Cycle.
Science is the Real TRUTH!
trying to integrate learning, vision, navigation, manipulation, planning, reasoning, speech, and natural language processing,
IOW walk and chew gum at the same time. Heck, I know people who can't pass that test.
Have gnu, will travel.
"Stair" is one of a new breed of robot that is trying to integrate learning, vision, navigation, manipulation, planning, reasoning, speech, and natural language processing.
Because LVNMPRSLP doesn't make such a catchy algorithm.
VLC FOR MAC IS DYING! IF YOU DEVELOP, PLEASE SAVE IT!!
Real Daleks don't climb stairs; they level the building.
Have gnu, will travel.
Disclosure: I am a Hofstadterian, so I am biased here.
There are basically three types of AI-peoples: The neverlands, the hype masters, and the hope monks. The neverlands, like Searle, deny that intelligence is a product of information-processing. Searle has made it into a sport the claims that AI will never happen because it does not have the "causal powers of the brain".
Then there are these types, like those reported here. Hypeware at its best. Look, it's alive, it's (F*CKING GASP) becoming self aware, etc hype hype hype ad-nauseum. But look at its innards _very_ closely, and it's pretty empty in there.
There are so many pitfalls involved that it's impossible to mention all faulty premises involved in each project. But just for starters, consider this: when we program a machine to deal with the number 2, it usually goes into binary form 10 and there it stays, ready for manipulation. But how plausible is this psychologically? NOT AT ALL! When _we think_ of a "2", hordes of disparate, subliminar images come to mind, such as the gestalt of the digit, the sound of it, the fact that it's a prime (if you're math inclined), a couple (if you're a therapist), even-ness, odd-ness, the words "two" "too", and a huge number of semi-visible mental imagery.
Whenever you see a hyped AI project, just consider how it deals with the numeral 2. Most likely it's a _fake_. The process through which it goes through is not psychologically plausible. Which means that it will fail to understand human concepts.
Some projects with machine learning actually make it a habit of finding _meaning_ in highly correlated words (i.e., words that tend to occur together in documents). That is a _joke_. Meaning NEVER comes from correlation. If it did, "lawyer" and "telephone" would have much more to do than "lawyer" and "vampire", or "politician" and "scumbag".
Sorry for the rent, but I work hard to understand fucking hard issues and to see these folks being slashdotted with nothing to show for just begs for a rant. If you want to see really serious research, take a look a Douglas Hofstadter's "Fluid Concepts and Creative Analogies" and/or google for Kemp's MIT thesis.
Does anyone know Stair's postal address?
Sarah Connor
There's a BBC documentary "Where's my robot" out since 16 dec 2008 with STAIR and others in it.
AI is artificial in the same sense artificial flavour is artificial. Yes, substances have a flavour, and it's no we who give those substances a flavour. But we are those who sythesize those substances, and we do so because of their specific flavour. And that's the same with AI: We are those who produce the systems, and we do it because of their "intelligence".
The Tao of math: The numbers you can count are not the real numbers.
hey, are you saying AI has a flavor? i don't think /b/ and intelligence belong together like that
Where is the "Ignorant" mod tag?
Comment removed based on user account deletion
You need to get the input into a form that the AI can understand. With Tic-Tac-Toe, that's simple. With vision/hearing/etc, it isn't so much. What does pixel (17x32) mean? So, the solution to that is to have some pattern-recognition that pre-processes the vision into some sort of symbols. In general, we've been programming those symbols in, but we could probably take it down to basic levels, similar to human vision processing. "What general color is this area? What guesses do I have as to current lighting conditions, and what color would that place be in bright white light? What shape does the area make up?" As time goes on, the AI's database of what those things *mean* to it would build up, but you've still got to find a way to get something besides raw data into its "consciousness".
So, while image recognition, natural language parsing/processing/comprehension, etc aren't necessarily necessary to "AI" itself, they're incredibly helpful as wrappers to allow an AI to interact in human-comfortable ways with the world.
It is pitch black. You are likely to be eaten by a grue.