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mikhail-miguel

Mental Models Artificial Intelligence - Easily understand mental models with Artificial... - 0 views

www.futurepedia.io/...mental-models-ai

Artificial-Intelligence AI

shared by mikhail-miguel on 23 Jul 23 - No Cached
  • mikhail-miguel on 23 Jul 23
     
    Mental Models Artificial Intelligence: Easily understand mental models with Artificial Intelligence (futurepedia.io).
thinkahol *

YouTube - Jeff Hawkins on Artificial Intelligence - Part 1/5 - 0 views

www.youtube.com/watch

intelligence math computer neuroscience philosophy bayesian

shared by thinkahol * on 04 Jun 10 - Cached
  • thinkahol * on 04 Jun 10
     
    June 23, 2008 - The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.
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.
thinkahol *

Jeff Hawkins on Artificial Intelligence - Part 1/5 - YouTube - 0 views

www.youtube.com/watch

Jeff Hawkins on Artificial Intelligence - Part 1_5 YouTube

shared by thinkahol * on 30 Oct 11 - No Cached
  • thinkahol * on 30 Oct 11
     
    The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.
mikhail-miguel

SymptomChecker.io - Let Artificial Intelligence and GPT help you discover possible diag... - 0 views

symptomchecker.io

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    SymptomChecker.io: Artificial Intelligence powered Symptom checker (symptomchecker.io). SymptomChecker.io: Let Artificial Intelligence and GPT help you discover possible diagnosis for your illness (symptomchecker.io).
mikhail-miguel

Formula Generator - Free Artificial Intelligence toolkit that helps you quickly generat... - 0 views

formulagenerator.app

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    Formula Generator: Free Artificial Intelligence toolkit that helps you quickly generate excel formulas (formulagenerator.app). Formula Generator: Use Artificial Intelligence to generate excel formuals (formulagenerator.app).
mikhail-miguel

Aigur.dev - A free and opensource (MIT) library to compose and invoke fully typed Gener... - 0 views

client.aigur.dev

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    Aigur.dev: A free and opensource (MIT) library to compose and invoke fully typed Generative Artificial Intelligence pipelines (client.aigur.dev). Aigur.dev: Library to compose generative Artificial Intelligence pipelines (client.aigur.dev).
mikhail-miguel

GPT-Me - It's Artificial Intelligence that gets smarter the more you talk to it and it ... - 0 views

gptme.vana.com

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    GPT-Me: Artificial Intelligence that gets smarter the more you talk to it and it gives you insights about yourself (gptme.vana.com). GPT-Me: It's Artificial Intelligence that gets smarter the more you talk to it and it gives you insights about yourself (gptme.vana.com).
mikhail-miguel

Vectorizer Artificial Intelligence - Convert your JPEG and PNG bitmaps to SVG vectors q... - 0 views

vectorizer.ai

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    Vectorizer Artificial Intelligence: Convert your JPEG and PNG bitmaps to SVG vectors quickly and easily with Vectorizer (vectorizer.ai). Vectorizer Artificial Intelligence: Convert your JPEG and PNG bitmaps to SVG vectors quickly and easily with Vectorizer.AI! (vectorizer.ai).
mikhail-miguel

Roamaround - Roamaround is an Artificial Intelligence itinerary maker, simply enter you... - 0 views

www.roamaround.io

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    Roamaround: Friendly Artificial Intelligence Travel Planner (roamaround.io). Roamaround: Roamaround is an Artificial Intelligence itinerary maker, simply enter your destination city, etc (roamaround.io).
mikhail-miguel

PionexGPT - Pionex GPT - Create Your Own Strategy with Artificial Intelligence (pionex.... - 0 views

pionex.com/7bYd5fOw

Artificial-Intelligence AI

shared by mikhail-miguel on 23 Jul 23 - No Cached
  • mikhail-miguel on 23 Jul 23
     
    PionexGPT: Pionex GPT - Create Your Own Strategy with Artificial Intelligence (pionex.com). PionexGPT: Pionex GPT: Create Your Own Strategy with Artificial Intelligence (pionex.com).
mikhail-miguel

LinkedIn Post Generator - Tool to improve LinkedIn post performance by analyzing the Li... - 0 views

postgenerator.app

Artificial-Intelligence AI

shared by mikhail-miguel on 23 Jul 23 - No Cached
  • mikhail-miguel on 23 Jul 23
     
    LinkedIn Post Generator: Improve LinkedIn post performance by analyzing the LinkedIn algorithm and providing Artificial Intelligence recommendations (postgenerator.app). LinkedIn Post Generator: Tool to improve LinkedIn post performance by analyzing the LinkedIn algorithm and providing Artificial Intelligence recommendations (postgenerator.app).
mikhail-miguel

Roamaround - Roamaround is an Artificial Intelligence itinerary maker, simply enter you... - 0 views

roamaround.io

Artificial-Intelligence AI

shared by mikhail-miguel on 23 Jul 23 - No Cached
  • mikhail-miguel on 23 Jul 23
     
    Roamaround: Friendly Artificial Intelligence Travel Planner (roamaround.io). Roamaround: Roamaround is an Artificial Intelligence itinerary maker, simply enter your destination city, etc (roamaround.io).
mikhail-miguel

Wisdolia - A Chrome Extension that uses Artificial Intelligence to generate flashcards ... - 0 views

wisdolia.com

Artificial-Intelligence AI

shared by mikhail-miguel on 09 Jul 23 - No Cached
  • mikhail-miguel on 09 Jul 23
     
    Wisdolia: A Chrome Extension that uses Artificial Intelligence to generate flashcards (with questions and answers) (wisdolia.com). Wisdolia: Artificial Intelligence generated flashcards for any article / PDF (wisdolia.com).
mikhail-miguel

LinkedIn Post Generator - Tool to improve LinkedIn post performance by analyzing the Li... - 0 views

www.postgenerator.app

Artificial-Intelligence AI

shared by mikhail-miguel on 27 Jul 23 - No Cached
  • mikhail-miguel on 27 Jul 23
     
    LinkedIn Post Generator: Improve LinkedIn post performance by analyzing the LinkedIn algorithm and providing Artificial Intelligence recommendations (postgenerator.app). LinkedIn Post Generator: Tool to improve LinkedIn post performance by analyzing the LinkedIn algorithm and providing Artificial Intelligence recommendations (postgenerator.app).
mikhail-miguel

Translate.video - Translate.video helps in video translation, captioning, subtitle tran... - 0 views

www.translate.video

Artificial-Intelligence AI

shared by mikhail-miguel on 27 Jul 23 - No Cached
  • mikhail-miguel on 27 Jul 23
     
    Translate.video: Translate.video helps in video translation, captioning, subtitle translation, dubbing, Artificial Intelligence voice-over, recording, and transcript generation (translate.video). Translate.video: Translates videos using Artificial Intelligence to 75+ languages with just 1-click (translate.video).
mikhail-miguel

PionexGPT - Pionex GPT - Create Your Own Strategy with Artificial Intelligence (pionex.... - 0 views

www.pionex.com/...7bYd5fOw

Artificial-Intelligence AI

shared by mikhail-miguel on 23 Jul 23 - No Cached
  • mikhail-miguel on 23 Jul 23
     
    PionexGPT: Pionex GPT - Create Your Own Strategy with Artificial Intelligence (pionex.com). PionexGPT: Pionex GPT: Create Your Own Strategy with Artificial Intelligence (pionex.com).
Matvey Ezhov

On Biological and Digital Intelligence - 0 views

www.goertzel.org/...icalAndDigitalIntelligence.htm

shared by Matvey Ezhov on 09 Sep 09 - Cached
  • In essence, Hawkins argues that, to whatever extent the concept of “consciousness” can’t be boiled down to brain theory, it’s simply a bunch of hooey.
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      Not true!
  • in which conscious experience is more foundational than physical systems or linguistic communications
  • Conscious experiences are associated with patterns, and patterns are associated with physical systems, but none of these is fully reducible to the other. 
  • ...22 more annotations...
  • He makes the correct point that roughly-human-level AI’s will have dramatically different strengths and weaknesses from human being, due to different sensors and actuators and different physical infrastructures for their cognitive dynamics.  But he doesn’t even touch the notion of self-modifying AI – the concept that once an AI gets smart enough to modify its own code, it’s likely to get exponentially smarter and smarter until it’s left us humans in the dust.
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      Совершенно не имеет отношения к теме, подход Хокинса легко масштабируется до сверх- и сверх-сверх-сверхчеловеческого интеллекта.
  • therefore if AI closely enough emulates the human brain it won’t radically self-modify either
  • Rather, I think the problem is that the field of AI has come to focus on “narrow AI” – programs that solve particularly, narrowly-defined problems – rather than “artificial general intelligence” (AGI). 
  • cognitive science, artificial general intelligence, philosophy of mind and abstract mathematics
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      т.о. Гортзел признается, что вообще принимает и не считает нужным принимать нейронауку в расчет, т.е. опирается только на эмпирические представления о том, как работает сознание.
  • So what we’re doing is creating commercial narrow AI programs, using the software framework that we’re building out with our AGI design in mind.
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      и в этом его большое отличие от платформы Хокинса, которая имеет одинаковую структуру для всех ее применений
  • I tend to largely agree with his take on the brain
  • I think he oversimplifies some things fairly seriously – giving them very brief mention when they’re actually quite long and complicated stories.  And some of these omissions, in my view, are not mere “biological details” but are rather points of serious importance for his program of abstracting principles from brain science and then re-concretizing these principles in the context of digital software.
  • One point Hawkins doesn’t really cover is how a mind/brain chooses which predictions to make, from among the many possible predictions that exist.
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      тут он вроде бы прав...
  • Hawkins proposes that there are neurons or neuronal groups that represent patterns as “tokens,” and that these tokens are then incorporated along with other neurons or neuronal groups into larger groupings representing more abstract patterns.  This seems clearly to be correct, but he doesn’t give much information on how these tokens are supposed to be formed. 
  • So, what’s wrong with Hawkins’ picture of brain function?  Nothing’s exactly wrong with it, so far as I can tell.
  • But Edelman then takes the concept one step further and talks about “neural maps” – assemblies of neuronal groups that carry out particular perception, cognition or action functions.  Neural maps, in essence, are sets of neuronal groups that host attractors of neurodynamics.  And Edelman then observes, astutely, that the dynamics of the population of neuronal groups, over time, is likely to obey a form of evolution by natural selection.
  • How fascinating if the brain also operates in this way!
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      да нифига... слов нет
  • Hawkins argues that creativity is essentially just metaphorical thinking, generalization based on memory.  While this is true in a grand sense, it’s not a very penetrating statement.
  • Evolutionary learning is the most powerful general search mechanism known to computer science, and is also hypothesized by Edelman to underly neural intelligence.  This sort of idea, it seems to me, should be part of any synthetic approach to brain function.
  • Hawkins mentions the notion, and observes correctly that Hebbian learning in the brain is a lot subtler than the simple version that Donald Hebb laid out in the late 40’s.   But he largely portrays these variations as biological details, and then shifts focus to the hierarchical architecture of the cortex. 
  • Hawkins’ critique of AI, which in my view is overly harsh.  He dismisses work on formal logic based reasoning as irrelevant to “real intelligence.” 
  • So – to sum up – I think Hawkins’ statements about brain function are pretty much correct
  • What he omits are, for instance,   The way the brain displays evolutionary learning as a consequence of the dynamics of multiple attractors involving sets of neural clusters The way the brain may emergently give rise to probabilistic reasoning via the statistical coordination of Hebbian learning
  • Learning of predictive patterns requires an explicit or implicit search through a large space of predictive patterns; evolutionary learning provides one approach to this problem, with computer science foundations and plausible connections to brain function; again, Hawkins does not propose any concrete alternative.
  • crucial question of how far one has to abstract away from brain function, to get to something that can be re-specialized into efficient computer software.  My intuition is that this will require a higher level of abstraction than Hawkins seems to believe.  But I stress that this is a matter of intuitive judgment – neither of us really knows.
  • Of course, to interpret the Novamente design as an “abstraction from the brain” is to interpret this phrase in a fairly extreme sense – we’re abstracting general processes like probabilistic inference and evolutionary learning and general properties like hierarchical structure from the brain, rather than particular algorithms. 
    • Matvey Ezhov
      Matvey Ezhov on 09 Sep 09
       
      наконец-то он сказал это
  • Although I’m (unsurprisingly) most psyched about the Novamente approach, I think it’s also quite worthwhile to pursue AGI approaches that are closer to the brain level – there’s a large space between detailed brain simulation and Novamente, including neuron-level simulations, neural-cluster-level simulations, and so forth. 
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?
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
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