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mikhail-miguel

OpenRead - Artificial Intelligence technology to enhance your research experience (open... - 0 views

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    OpenRead: Artificial Intelligence technology to enhance your research experience (openread.academy).
mikhail-miguel

DeepL - 3x more accurate machine translation with Advanced Artificial Intelligence tech... - 0 views

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    DeepL: 3x more accurate machine translation with Advanced Artificial Intelligence technology (deepl.com).
mikhail-miguel

Deep Nostalgia - Animate the faces in your family photos with an incredible technology ... - 0 views

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    Deep Nostalgia: Animate the faces in your family photos with an incredible technology (myheritage.fr).
mikhail-miguel

StarByFace - Discover your celebrity doppelganger with advanced facial recognition tech... - 0 views

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    StarByFace: Discover your celebrity doppelganger with advanced facial recognition technology (starbyface.com).
mikhail-miguel

Kreateable - Online graphic design tool which uses generative Artificial Intelligence t... - 0 views

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    Kreateable: Online graphic design tool which uses generative Artificial Intelligence technology to create powerful designs (kreateable.com).
mikhail-miguel

Jungle Artificial Intelligence - The Artificial Intelligence technology that helps you ... - 0 views

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    Jungle Artificial Intelligence: The Artificial Intelligence technology that helps you improve machinery performance (jungle.ai).
mikhail-miguel

Deep Nostalgia - Animate the faces in your family photos with an incredible technology ... - 0 views

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    Deep Nostalgia: Animate the faces in your family photos with an incredible technology (myheritage.fr).
mikhail-miguel

OpenRead - Artificial Intelligence technology to enhance your research experience (open... - 0 views

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    OpenRead: Artificial Intelligence technology to enhance your research experience (openread.academy).
mikhail-miguel

ProductGPT - ProductGPT - Artificial Intelligence Text Generator revolutionizes product... - 0 views

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    ProductGPT - ProductGPT: Artificial Intelligence Text Generator revolutionizes product titles and descriptions with Artificial Intelligence technology (apps.shopify.com).
thinkahol *

Researcher builds machines that daydream - Oddware - Technology - News - iTnews.com.au - 0 views

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    Algorithms let robots reflect and meditate.
thinkahol *

Future Intelligence | Watch Free Documentary Online - 0 views

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    Catch a first-time glimpse at smart technology that will put android helpers in the home, network commuters and entire cities to the Web, and bring us entertainment systems that can virtually make dreams come true. Advances in artificial intelligence are creating machines with near human-like mental agility. Intelligence will be embedded everywhere - even in our clothing, thanks to smaller, more powerful computers. Soon, we will be able to build computers with artificial intelligence and processing power that rivals the human brain. Intelligence will be everywhere, in our clothing, our vehicles and homes. Intelligent robots will serve us - until they don't feel like doing so anymore. And what happens then…?
countants1254

AI and Machine Learning For Fashion Industry - Global Trends & Benefits - 0 views

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    The use of AI in the fashion industry of 2020 has become so well entrenched that 44% of the fashion retailers (who have not adopted AI) are today facing bankruptcy. As a result of this, global spending on AI technologies by the fashion & retail industry is expected to reach $7.3 billion each year by the year 2022.
mikhail-miguel

Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World - 0 views

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    One of The Sunday Times Business Books of the Year Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally best-selling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than 30 years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. By 2049, AI will be a billion times more intelligent than humans. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love and the planet itself.
mikhail-miguel

Real-time Market Map - 0 views

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    GPT-3 is the world's most sophisticated natural language technology. Discover how companies are implementing AI to power new use cases.
mikhail-miguel

Microsoft is already offering a generative AI certification program - 0 views

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    Although Big Tech is still (sometimes clumsily) figuring out generative AI's ethics and implications, the genie is out of the bottle, and the technology is already integrating into the workforce.
Matvey Ezhov

Mapping the brain - MIT news - 2 views

  • 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
       
      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.
Matvey Ezhov

Recursive Self-Improvement - The Transhumanist Wiki - 2 views

  • True Artificial Intelligence would bypass problems of biological complexity and ethics, growing up on a substrate ideal for initiating Recursive Self-Improvement. (fully reprogrammable, ultrafast, the AI's "natural habitat".) This Artificial Intelligence would be based upon: 1) our current understanding of the central algorithms of intelligence, 2) our current knowledge of the brain, obtained through high-resolution fMRI and delicate Cognitive Science experiments, and 3) the kind of computing hardware available to AI designers.
  • Humans cannot conduct any of these enhancements to ourselves; the inherent structure of our biology and the limited level of our current technology makes this impossible.
  • Recursive Self-Improvement is the ability of a mind to genuinely improve its own intelligence. This might be accomplished through a variety of means; speeding up one's own hardware, redesigning one's own cognitive architecture for optimal intelligence, adding new components into one's own hardware, custom-designing specialized modules for recurrent tasks, and so on.
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  • Unfortunately, the neurological structures corresponding to human intelligence are likely to be highly intricate, delicate, and biologically very complex (unnecessarily so; evolution exhibits no foresight, and most of the brain evolved in the absence of human General Intelligence).
  • 2) advances in Cognitive Science that indicate the complexity of certain brain areas is largely extraneous to intelligence,
    • Matvey Ezhov
       
      Очень серьезно допущение, которое может быть ошибочно. Нам известно, что все зоны кортекса участвуют в формировании модели мира индивида, а значит и сознания.
Matvey Ezhov

Technology Review: Intelligence Explained - page 2 - 1 views

  • 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
       
      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.
Matvey Ezhov

Technology Review: Intelligence Explained - page 1 - 1 views

  • "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.
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