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mikhail-miguel

Artificial Intelligence: A Guide for Thinking Humans - 0 views

www.amazon.com/...ref=tmm_aud_swatch_0

'Recommended Books' Artificial-Intelligence AI

shared by mikhail-miguel on 27 Jul 23 - No Cached
  • mikhail-miguel on 27 Jul 23
     
    This program includes an introduction read by the author. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals its turbulent history and the recent surge of apparent successes, grand hopes, and emerging fears that surround AI. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements. She meets with fellow experts like Douglas Hofstadter, the cognitive scientist and Pulitzer Prize - winning author of the modern classic Gödel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much farther it has to go. Interweaving stories about the science and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and approachable accounts of the most interesting and provocative modern work in AI, flavored with Mitchell's humor and personal observations. This frank, lively book will prove an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impacts on all of our futures. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
mikhail-miguel

AskThee - Ask a question to a big thinker, artist, or scientist (askthee.vercel.app). - 0 views

askthee.vercel.app

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    AskThee: Ask a question to a big thinker, artist, or scientist (askthee.vercel.app).
thinkahol *

I, algorithm: A new dawn for artificial intelligence - tech - 31 January 2011 - New Sci... - 0 views

www.newscientist.com/...r-artificial-intelligence.html

I algorithm: A dawn for artificial intelligence - tech 31 January 2011 New Scientist

shared by thinkahol * on 01 Feb 11 - Cached
  • thinkahol * on 01 Feb 11
     
    Artificial intelligence has finally become trustworthy enough to watch over everything from nuclear bombs to premature babies
Matvey Ezhov

Technology Review: Intelligence Explained (!) - 0 views

www.technologyreview.com/printer_friendly_article.aspx

intelligence ai neuroscience news brain neuroinformatics science

shared by Matvey Ezhov on 24 Oct 09 - Cached
  • "Scientists are now able to switch the focus from particular regions of the brain to the connections between those regions," says Sherif Karama, a psychiatrist and a neuroscientist at McGill University's Montreal Neurological Institute.
  • A quantifiable "general intelligence factor," known as g, can be statistically extracted from scores on a battery of intelligence tests.
  • In 2001, Thompson showed that it is correlated with volume in the frontal cortex, a result consistent with a number of studies that have linked intelligence to overall brain size.
  • ...3 more annotations...
  • In 2007, Jung and Richard Haier, now professor emeritus of psychology at the University of California, Irvine, developed the first comprehensive theory drawn from neuroimaging of how the brain gives rise to intelligence.
    • Matvey Ezhov
      Matvey Ezhov on 24 Oct 09
       
      Attention! To Research.
  • As we "evolved from worms to humans," says George Bartzokis, a professor of psychiatry at UCLA, the number of non-neural cells in the brain increased 50 times more than the number of neurons. He adds, "My hypothesis has always been that what gives us our cognitive capacity is not actually the number of neurons, which can vary tremendously between human individuals, but rather the quality of our connections."
  • The type of MRI typically used for medical scans does not show the finer details of the brain's white matter. But with a technique called diffusion tensor imaging (DTI), which uses the scanner's magnet to track the movement of water molecules in the brain, scientists have developed ways to map out neural wiring in detail. While water moves randomly within most brain tissue, it flows along the insulated neural fibers like current through a wire.
Matvey Ezhov

Is this a unified theory of the brain? (Bayesian theory in New Scientist) - 1 views

reverendbayes.wordpress.com/...yesian-theory-in-new-scientist

bayesian theory of the brain brain neuroscience ai science neuroinformatics

shared by Matvey Ezhov on 27 Oct 09 - Cached
  • Neuroscientist Karl Friston and his colleagues have proposed a mathematical law that some are claiming is the nearest thing yet to a grand unified theory of the brain. From this single law, Friston’s group claims to be able to explain almost everything about our grey matter.
  • Friston’s ideas build on an existing theory known as the “Bayesian brain”, which conceptualises the brain as a probability machine that constantly makes predictions about the world and then updates them based on what it senses.
  • A crucial element of the approach is that the probabilities are based on experience, but they change when relevant new information, such as visual information about the object’s location, becomes available. “The brain is an inferential agent, optimising its models of what’s going on at this moment and in the future,” says Friston. In other words, the brain runs on Bayesian probability.
  • ...6 more annotations...
  • “In short, everything that can change in the brain will change to suppress prediction errors, from the firing of neurons to the wiring between them, and from the movements of our eyes to the choices we make in daily life,” he says.
  • Friston created a computer simulation of the cortex with layers of “neurons” passing signals back and forth. Signals going from higher to lower levels represent the brain’s internal predictions, while signals going the other way represent sensory input. As new information comes in, the higher neurons adjust their predictions according to Bayesian theory.
  • Volunteers watched two sets of moving dots, which sometimes moved in synchrony and at others more randomly, to change the predictability of the stimulus. The patterns of brain activity matched Friston’s model of the visual cortex reasonably well.
  • Friston’s results have earned praise for bringing together so many disparate strands of neuroscience. “It is quite certainly the most advanced conceptual framework regarding an application of these ideas to brain function in general,” says Wennekers. Marsel Mesulam, a cognitive neurologist from Northwestern University in Chicago, adds: “Friston’s work is pivotal. It resonates entirely with the sort of model that I would like to see emerge.”
  • “The final equation you write on a T-shirt will be quite simple,” Friston predicts.
  • There’s work still to be done, but for now Friston’s is the most promising approach we’ve got. “It will take time to spin off all of the consequences of the theory – but I take that property as a sure sign that this is a very important theory,” says Dehaene. “Most other models, including mine, are just models of one small aspect of the brain, very limited in their scope. This one falls much closer to a grand theory.”
Matvey Ezhov

Memristor minds: The future of artificial intelligence - tech - 08 July 2009 - New Scie... - 0 views

www.newscientist.com/...f-artificial-intelligence.html

Electronics memristor science ai

shared by Matvey Ezhov on 29 Aug 09 - Cached
  • Matvey Ezhov on 29 Aug 09
     
    Memristor minds
thinkahol *

Artificial life forms evolve basic intelligence - life - 04 August 2010 - New Scientist - 0 views

www.newscientist.com/...evolve-basic-intelligence.html

artificial digital life forms evolve basic intelligence

shared by thinkahol * on 10 Aug 10 - Cached
  • thinkahol * on 10 Aug 10
     
    Digital organisms not only mutate and evolve, they also have memory - so how long before they acquire intelligence too?
Matvey Ezhov

Technology Review: Intelligence Explained - page 1 - 1 views

www.technologyreview.com/...23695

intelligence brain neuroscience

shared by Matvey Ezhov on 24 Oct 09 - Cached
  • "Scientists are now able to switch the focus from particular regions of the brain to the connections between those regions," says Sherif Karama, a psychiatrist and a neuroscientist at McGill University's Montreal Neurological Institute.
Volucer Volucer

IBM Cat Brain Simulation Dismissed as 'Hoax' by Rival Scientist - NYTimes.com - 1 views

www.nytimes.com/...ed-as-hoax-by-rival-39598.html

AI ИИ нейробиология neuroscience

shared by Volucer Volucer on 25 Nov 09 - Cached
  • Matvey Ezhov on 25 Nov 09
     
    Угу видел уже. Насколько обоснованная претензия? Насколько работа упрощенного формального нейрона соответствует биологическому нейрону?
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