FWD: brain-like computers

From: Wade T.Smith (wade_smith@harvard.edu)
Date: Thu May 11 2000 - 03:44:16 BST

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    Subject: FWD:  brain-like computers
    Date: Wed, 10 May 2000 22:44:16 -0400
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    This is just one of those interesting little concurrences of subjects
    that life is so full of....

    - Wade

    ---------------- Begin Forwarded Message ----------------

    < http://www.theage.com.au/news/20000126/A46070-2000Jan25.html >
    subtopic: "extermination of the human race"

    Professor Hugo de Garis, physicist, lately of Melbourne and now of Kyoto
    in Japan, fears that his experiments may ultimately lead to the
    extermination of the human race. What do you think?

     At the Kyoto Advanced Telecommunications Research Institute, Professor
    de Garis switched on a machine with which he will build the world's first
    neural circuits for a true artificial brain. In the next 12 months the
    cellular automata machine (CAM) in his laboratory will create a device
    composed of 75million silicon neurons, similar in capability to those in
    a human brain. The neuron networks are built up so that their connections
    are random, as they are in the human brain. Most of them fail in
    production and are discarded by a system based on Darwin's theory of
    evolution. Even so, the circuits are built, tested, accepted or rejected
    at blinding speed, many thousands every minute. When it is finished some
    time in 2001, this artificial brain or "artilect" will go into a
    four-legged robot called Robokitty.

    By then work will have begun on the next generation of the artificial
    brain which, Professor de Garis says, could be finished about 2007 and
    would have more than 10 billion neurons. This would bring it to about the
    level of a village idiot but within reach of the 23billion organic
    neurons contained in the cortex of a human male (19 billion in a female).
    Then comes the third generation, which Professor de Garis expects to be
    finished about 2011 - a fearsome creation of 1000 billion neurons, vastly
    larger than that of a human.

    "By then," says this unconventional Australian, "I expect we'll be in a
    debate about whether we should proceed any further. Long-term I am very
    worried about the political impact of brain building. Since I am helping
    to pioneer this brain-building field, I feel a strong moral obligation to
    stimulate discussion on this enormous question. Do we allow the
    artificial intellects to take over or not?"

    Futurologists, such as the American computer engineer and author Ray
    Kurzweil, agree with him. While they themselves are riding and driving
    the technological revolution, they also see its scary side. A massively
    powerful artificial brain could easily develop contempt for its
    comparatively puny human makers, says Professor de Garis, who predicts
    that such a question could be this century's burning issue. On one side
    will be those afraid of the consequences of the science. On the other
    those who see it as part of human destiny and who say that if artilects
    are created by humans, then humans can set the boundaries for the
    artificial intelligence.

    Professor de Garis is not so sure about humans retaining control,
    particularly when it comes to a silicon brain 40 times smarter than your
    average man. These, he says, should be coming out of the CAM machines by
    the second half of this century. Some see parallels with the debate
    raised by the cloning of Dolly the sheep. The CAM machine with which
    Professor deGaris is working was built by Genobyte, a US company based in
    Boulder, Colorado. It produces microscopic modules on silicon chips each
    of about 1000 artificial neurons. Such electrical connections in our
    human brains control our movements, our senses and, perhaps most
    ominously when it is seen in an artificial environment, our emotions and
    our imaginations.

    In his profile on his personal website, the professor says: "My dream in
    life is to build artificial brains with billions of artificial neurons,
    and see brain-like computers become a trillion-dollar industry within 20
    years."

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