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thinkahol *

Being No One - The MIT Press - 0 views

mitpress.mit.edu/...default.asp

Being No One - The MIT Press

shared by thinkahol * on 23 Feb 12 - Cached
  • thinkahol * on 23 Feb 12
     
    According to Thomas Metzinger, no such things as selves exist in the world: nobody ever had or was a self. All that exists are phenomenal selves, as they appear in conscious experience. The phenomenal self, however, is not a thing but an ongoing process; it is the content of a "transparent self-model." In Being No One, Metzinger, a German philosopher, draws strongly on neuroscientific research to present a representationalist and functional analysis of what a consciously experienced first-person perspective actually is. Building a bridge between the humanities and the empirical sciences of the mind, he develops new conceptual toolkits and metaphors; uses case studies of unusual states of mind such as agnosia, neglect, blindsight, and hallucinations; and offers new sets of multilevel constraints for the concept of consciousness. Metzinger's central question is: How exactly does strong, consciously experienced subjectivity emerge out of objective events in the natural world? His epistemic goal is to determine whether conscious experience, in particular the experience of being someone that results from the emergence of a phenomenal self, can be analyzed on subpersonal levels of description. He also asks if and how our Cartesian intuitions that subjective experiences as such can never be reductively explained are themselves ultimately rooted in the deeper representational structure of our conscious minds.
thinkahol *

Artificial life forms evolve basic intelligence | KurzweilAI - 0 views

www.kurzweilai.net/orms-evolve-basic-intelligence

artificial intelligence life

shared by thinkahol * on 07 Aug 10 - Cached
  • thinkahol * on 07 Aug 10
     
    Michigan State University (MSU) researchers have developed digital organisms called Avidians that were made to evolve memory, and could eventually be
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

Whole Brain Project™ - 1 views

www.wholebrainproject.org

brain neuroscience Whole Brain Project

shared by Matvey Ezhov on 01 Nov 09 - Cached
  • Matvey Ezhov on 01 Nov 09
     
    "Simultaneous revolutions in neuroscience research and next generation software tools are merged in the Whole Brain Project™. The project joins neuroscientists and software engineers to employ experimental techniques to visualize and explore the burgeoning new discoveries about the brain's structure and function. Despite rapid progress in development of new experimental methods, our ability to simultaneously study the brain across all these scales remains quite limited. The Whole Brain Project looks to provide open source networks to help unify the disparate and heterogeneous data of neuroscientists."
  • Matvey Ezhov on 01 Nov 09
     
    Wooooohooo!!!!!!
  • Nikolay Sibirtsev on 01 Nov 09
     
    Пока не на что смотреть... Хотя может со временем и получится неплохая штука.
mikhail-miguel

LMSYS Chatbot Arena Vision (Multimodal): Benchmarking LLMs and VLMs in the Wild - 0 views

chat.lmsys.org/?vision

LLM Artificial-Intelligence VLM AI LMSYS

shared by mikhail-miguel on 11 Jun 24 - No Cached
  • mikhail-miguel on 11 Jun 24
     
    The Chatbot Arena has launched a new beta feature supporting images, allowing users to interact with chatbots through images. Each conversation can include the submission of one image, as long as it is under 15MB. The Chatbot Arena logs user requests, including the images submitted, for research purposes. Although this data is not currently publicly disclosed, there may be a possibility of doing so in the future. Therefore, it is recommended that users avoid sending confidential or personal information through this feature. This feature is in its early development stage, so there may be issues or bugs. Users are encouraged to report any issues through the Chatbot Arena communication channels.
Matvey Ezhov

Mapping the brain - MIT news - 2 views

web.mit.edu/...brain-mapping.html

brain neuroscience connectome

shared by Matvey Ezhov on 20 Feb 10 - Cached
  • To find connectomes, researchers will need to employ vast computing power to process images of the brain. But first, they need to teach the computers what to look for.
  • to manually trace connections between neurons
  • want to speed up the process dramatically by enlisting the help of high-powered computers.
  • ...5 more annotations...
  • To do that, they are teaching the computers to analyze the brain slices, using a common computer science technique called automated machine learning, which allows computers to change their behavior in response to new data.
  • With machine learning, the researchers teach computers to learn by example. They feed their computer electron micrographs as well as human tracings of these images. The computer then searches for an algorithm that allows it to imitate human performance.
  • Their eventual goal is to use computers to process the bulk of the images needed to create connectomes, but they expect that humans will still need to proofread the computers’ work.
  • Last year, the National Institutes of Health announced a five-year, $30 million Human Connectome Project to develop new techniques to figure out the connectivity of the human brain. That project is focused mainly on higher level, region-to-region connections. Sporns says he believes that a good draft of higher-level connections could be achieved within the five-year timeline of the NIH project, and that significant progress will also be made toward a neuron-to-neuron map.
    • Matvey Ezhov
      Matvey Ezhov on 21 Feb 10
       
      draft of human connectome within five years
  • Though only a handful of labs around the world are working on the connectome right now, Jain and Turaga expect that to change as tools for diagramming the brain improve. “It’s a common pattern in neuroscience: A few people will come up with new technology and pioneer some applications, and then everybody else will start to adopt it,” says Jain.
dev j

Online editing services - 0 views

www.manuscriptedit.com

Proofreading Substantive editing Translation Medical writing and rewriting Journal submission

shared by dev j on 11 Aug 11 - No Cached
  • dev j on 11 Aug 11
     
    Welcome to Manuscriptedit.com, your online partner for English language editing, proofreading, medical writing, formatting, design & development and publication support services. We offer a comprehensive manuscript editing service before its submission for publication as well as after acceptance by the peer review process.
Matvey Ezhov

Biological Basis of HTMs - Numenta.com - 3 views

www.numenta.com/...biological-background-htm.php

numenta JeffHawkins hawkins HTM neuroinformatics neuroscience neuro

shared by Matvey Ezhov on 13 Oct 09 - Cached
  • Volucer Volucer on 13 Oct 09
     
    исключительно интересно. Проштудирую
Matvey Ezhov

Technology Review: Intelligence Explained - page 2 - 1 views

www.technologyreview.com/...page2

intelligence brain neuroscience

shared by Matvey Ezhov on 25 Oct 09 - Cached
  • 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 25 Oct 09
       
      we need to find them
  • Applying existing theories of how information flows in the brain, Jung and Haier hypothesized that neural signals travel from nodes near the back of the brain, where sensory data is collected and synthesized, to those in the frontal lobes, which are responsible for decision making and planning. The connections between these nodes, they argued, are just as critical as the nodes themselves.
arianamaurya

AI in Banking: How Banks Use AI - 0 views

www.quytech.com/...ai-in-banking

in banking ai development Artificial Intelligence

shared by arianamaurya on 20 Oct 23 - No Cached
  • arianamaurya on 20 Oct 23
     
    Explore the transformative role of Artificial Intelligence (AI) in the world of banking. This bookmark offers an in-depth look at how financial institutions utilize AI to enhance customer experiences, streamline operations, manage risk, and drive innovation. Discover the cutting-edge applications of AI in banking and stay informed about the future of financial technology.
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