AI Fails Because it Uses the Wrong Kinds of Computers

My own opinion is that AI has failed to fulfill its promise because we are using the wrong kind of computers. We are using digital computers, and the human brain is probably analog rather than digital. So my guess is that AI will succeed only after we move from digital to analog computing. This is a tough intellectual problem that cannot be solved just by spending a lot of money.


Human brains are analog, computers are digital.

Folksonomies: computer science brain ai

/technology and computing (0.670973)
/technology and computing/hardware/computer (0.428981)
/technology and computing/consumer electronics (0.352371)

Computers Human brains (0.954851 (negative:-0.712229)), tough intellectual problem (0.930155 (negative:-0.645654)), Wrong Kinds (0.768411 (negative:-0.712229)), wrong kind (0.713450 (negative:-0.766595)), analog computing (0.703129 (neutral:0.000000)), digital computers (0.475642 (neutral:0.000000)), guess (0.321813 (neutral:0.000000)), promise (0.317307 (negative:-0.766595)), opinion (0.301319 (negative:-0.766595))

AI:Organization (0.886727 (negative:-0.739412))

Computer (0.961452): dbpedia | freebase | opencyc
Human brain (0.826171): dbpedia | freebase
Brain (0.801883): dbpedia | freebase | opencyc
Computing (0.629970): dbpedia | freebase | opencyc
Cerebellum (0.589907): dbpedia | freebase | opencyc
Computer science (0.580549): dbpedia | freebase | opencyc

 Interviews: Freeman Dyson Answers Your Questions
Electronic/World Wide Web>Internet Article:  Dyson , Freeman (May 13, 2013), Interviews: Freeman Dyson Answers Your Questions, Slashdot, Retrieved on 2013-05-13
  • Source Material []
  • Folksonomies: science education interviews


    30 NOV -0001

     Modeling the World

    Much of science and programming involve creating models of systems within our world.
    Folksonomies: modeling simulation
    Folksonomies: modeling simulation