Friday, April 23, 2021

g-f(2)239 The Big Picture of Business Artificial Intelligence (4/23/2021), AAAS, Small images, big picture: Artificial intelligence to revolutionize microscopy.

Extra-condensed knowledge

Researchers hope that bringing deep learning techniques to cell imaging and analysis could turn messy biological problems into solvable computations. 
  • The deep learning algorithms that power computational microscopes require large datasets to train them to perform independent tasks, but such datasets are not always readily available. Then the performance of these algorithms must be assessed to compare it to the current standard of analysis. 
  • Building bridges
    • Introducing AI into the daily practice of microscopy, whether you’re looking at cells or rocks, is to ensure that the technology can be used by any scientist, regardless of their knowledge of deep learning techniques.
  • The future of AI
    • Across the board, researchers working in academic and commercial settings see the greatest barrier to adopting AI into scientific life as fear of the unknown. Yet its increasing influence is undeniable.
    • There’s a sense that while change is inevitable, society needs to make a stronger commitment to ensuring all scientists can benefit from these new technologies. 

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    Condensed knowledge

    Category 2: The Big Picture of the Digital Age

    [genioux fact deduced or extracted from AAAS]

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    Type of essential knowledge of this “genioux fact”: Essential Deduced and Extracted Knowledge (EDEK).

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    • Inherited from sources + Supported by the knowledge of one or more experts.

    Authors of the genioux fact

    Fernando Machuca


    Sarah O’Meara is a freelance writer who specializes in life sciences.

    I am a creative team manager who has lead editorial, audience development and technical teams in the UK and China for startups and established companies. I specialise in problem-solving, research, delivering to a deadline and motivating staff. I like to work with optimistic, intelligent teams with progressive goals.

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