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mikhail-miguel

AI Time Machine - Create AI-generated images & time travel with Artificial Intelligence... - 0 views

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    AI Time Machine: Create AI-generated images & time travel with Artificial Intelligence Time Machine (myheritage.com).
mikhail-miguel

AI Time Machine - Create AI-generated images & time travel with Artificial Intelligence... - 0 views

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    AI Time Machine: Create AI-generated images & time travel with Artificial Intelligence Time Machine (myheritage.com).
mikhail-miguel

Teachable Machine - Teachable Machine: fast, easy ML models for everyone (teachablemach... - 0 views

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    Teachable Machine: Teachable Machine: fast, easy ML models for everyone (teachablemachine.withgoogle.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.
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

Piano Genie - Have some fun pretending you're a piano virtuoso using machine learning (... - 0 views

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    Piano Genie: Have some fun pretending you're a piano virtuoso using machine learning (piano-genie.glitch.me).
mikhail-miguel

Smodin - Text rewriter, plagiarism checker, auto citation machine, and a multi-lingual ... - 0 views

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    Smodin: Text rewriter, plagiarism checker, auto citation machine, and a multi-lingual translator. Enhance your writing with Smodin (smodin.io).
mikhail-miguel

Jema.ai - Generated content by machine (jema.ai). - 0 views

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    Jema.ai: Generated content by machine (jema.ai).
mikhail-miguel

MachineTranslation - Machine translation aggregator and analysis based on GPT (machinet... - 0 views

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    MachineTranslation: Machine translation aggregator and analysis based on GPT (machinetranslation.com).
mikhail-miguel

Revalio - Machine learning powered property valuation and listing composer (revalio.com). - 0 views

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    Revalio: Machine learning powered property valuation and listing composer (revalio.com).
mikhail-miguel

GGML - Tensor library for machine learning to enable large models and high performance ... - 0 views

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    GGML: Tensor library for machine learning to enable large models and high performance on commodity hardware (ggml.ai).
mikhail-miguel

StarChat - Discover and explore various machine learning applications with ease through... - 0 views

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    StarChat: Discover and explore various machine learning applications with ease through StarChat Playground (huggingface.co).
mikhail-miguel

MachineTranslation - Machine translation aggregator and analysis based on GPT (machinet... - 0 views

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    MachineTranslation: Machine translation aggregator and analysis based on GPT (machinetranslation.com).
thinkahol *

Building Gods | Watch Free Documentary Online - 0 views

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    This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.
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.
thinkahol *

A: This Computer Could Defeat You at 'Jeopardy!' Q: What is Watson? - 0 views

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    From: PBSNewsHour | February 14, 2011  | 1,877 viewsRead the transcript: http://to.pbs.org/enCpW3NewsHour Science correspondent Miles O'Brien goes head-to-circuit board with IBM's computer Watson on the game show "Jeopardy!" to explore the limits of language and artificial intelligence for machines.
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.
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