MIT Research Mimics How Humans Recognize Street Scene
February 27, 2007 1:03 PM
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MIT researchers create world's first computer model that is able to adequately mimic artificial vision
Scientists in Tomaso Poggio's laboratory at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology have
developed a computational model of how the human brain processes visual information
that specifically mimics how it recognizes street scenes. The research could be used to help repair damaged brain functions while helping researchers further understand some of the locked mysteries of the brain.
The original intent behind the research for Poggio has been to successfully develop a model that would be able accurately portray a visual system that would not only be good for neuroscientists and psychologist but also for purposes related to computer science. "That was Alan Turing's original motivation in the 1940s. But in the last 50 years, computer science and AI have developed independently of neuroscience. Our work is biologically inspired computer science."
In the enclosed image, the Poggio model for object recognition is able to receive input as regular unlabeled images of digital images from a Street Scene Database and will then generate an annotation that detects important parts of the street scene. The system is also able to detect cyclists, buildings, trees, different roads, and the sky.
One of the biggest drawbacks of better development of artificial intelligence is that the human brain is mysterious and extremely complicated to mimic. While computers are obviously much faster, humans are smarter -- drawing a bridge between the two has been difficult.
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RE: Self Driving Cars
2/27/2007 8:42:48 PM
This so-called breakthrough is nothing new. It's the same pattern recognition NNs that have been in use for years.
“The fact that this system seems to work on realistic street scene images is a concept proof that the activity of neurons as measured in the lab is sufficient to explain how brains can perform complex recognition tasks.”
Complete nonsense, but it'll be sufficient to win more funding. That's how these things work. Run out of money, come out with a faux-breakthrough that's a rehash of something from thirty years ago, get more.
RE: Self Driving Cars
2/28/2007 1:18:44 AM
Seriously, how the hell does this make it into Dailytech?
I read the paper, it's a four-layer feed-forward network utilizing two different types of neuron, an averaging neuron, and a max neuron. This is hardly anything groundbreaking. The only place they try anything new is claiming that this matches some neural model - of course the fact that there are dozens of different neural models of varying acceptance floating around doesn't seem to affect them.
This was a paper written to get a publication to ensure grant money - we all do these papers when needed so no blame on them, but it isn't something that needs press coverage.
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