Work - in - progress!
Is artificial intelligence a threat to the Argument - from - Design idea supported by BILLIONS?
Man has already created computers that some years ago could beat in chess any homo sapien: Is this a reason for concern for anyone?
Yet we have the below postulate: that they have created a mere fragment of our minds - a computer that allegedly can recognize a cat!
No time to criticise Google for now.
However I do wonder how close we really are to anything remotely approaching artificial intelligence - and how far removed THAT would be to a Supreme Being.
The simplest cell would take a groupp of Evolution - supporting monkeys 10 10000000 years to fail to create.
Sadly the chess analogy does not work for me.
GS
On top of Google's artificial mind: the ability to recognise cats
- The Times
- June 27, 2012
Of possible interest in future:
http://humanorigins.si.edu/evidence/human-fossils/species/homo-neanderthalensis
On top of Google's artificial mind: the ability to recognise cats
- The Times
- June 27, 2012
The project could mark an important advance in the effort to create machines that are able to interact with the world - by recognising shapes and objects - as effortlessly as humans do.
A Google team connected 16,000 computer processors to create a "neural network" with more than one billion connections.
It turned out that this "Google brain" behaved in a manner that mirrored the habits of many human internet users: it became obsessed with pictures of cats.
The researchers fed the machine random images plucked from 10 million YouTube videos. Despite none of the images being labelled as feline, the Google brain constructed a kind of ghostly abstract model of a cat after being bombarded by millions of pictures.
"We never told it during the training, 'This is a cat'," Jeff Dean, a Google scientist, said. "It basically invented the concept of a cat."
By the end of the experiment the Google brain recognised three quarters of the cats that it was presented with, from a collection of 20,000 objects.
It also proved sensitive to human bodies and faces and performed more than twice as accurately as any previous neural network, according to The New York Times. The researchers who conducted the experiment believe that the process may have mirrored what happens in the human visual cortex, which is the largest system in the
human brain and is responsible for processing visual images.
Recognising a cat may sound like a trivial thing, but in the world of artificial intelligence it is significant.
Experts sometimes refer to "Moravec's paradox". This is an expression of a counterintuitive truth: that training machines to do things that are easy for humans (such as recognising a cat) is often far harder than training machines to do tasks that humans can find challenging (such as playing chess).
Hans Moravec, an expert in robotics at Carnegie Mellon University, in Pittsburgh, said: "It is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility."
The Google brain appears to be the first artificial neural network to identify objects without hints from a human supervisor, but it has a long way to go before it matches the human brain.
"It is worth noting that our network is still tiny compared to the human visual cortex, which is a million times larger in terms of the number of neurons and synapses," the researchers wrote.
The technology has been developed in Google's X Lab, a secretive facility led by Sebastian Thrun, a guru in the field of artificial intelligence. Among Professor Thrun's other projects are Google's driverless car. He has also worked on Google Glass, a pair of spectacles that displays data from the web in front of a user's eyes.
The Times
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