『Prof. Guna Explains AI (AI4ALL)』のカバーアート

Prof. Guna Explains AI (AI4ALL)

Prof. Guna Explains AI (AI4ALL)

著者： Andy Gunawardena
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このコンテンツについて

In this podcasts series we cover basics of AI and how they can be applied to our work and personal lives. This podcast is created with the assistance of AI and voices are both human (host) and AI generated. The podcast is based on the book AI4ALL by Professor Andy Gunawardena which is available from Amazon or from http://andyguna.com.

@2024 andyguna 教育
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  • From Computational thinking to AI thinking - Rethinking Education with Intelligent Agents

    From Computational thinking to AI thinking - Rethinking Education with Intelligent Agents
    2025/04/12

    This the keynote given at the The College of New Jersey Pelson Memorial Annual lecture on April 11, 2025. This talk is intended for all audiences and establishes a general thought process for thinking about how AI will impact the future of education and workforce development.
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    59 分
  • Data is the New Oxygen of Our Digital Ecosystem

    Data is the New Oxygen of Our Digital Ecosystem
    2025/02/19

    In today’s digital world, data fuels innovation, decision-making, and automation, much like oxygen sustains life. From AI models to personalized recommendations and business intelligence, data is the essential resource that powers modern technology. Organizations that harness and analyze data effectively gain a competitive edge, while those that neglect it risk stagnation. However, just as oxygen needs to be clean for optimal health, data must be high-quality, ethically sourced, and well-managed to drive meaningful progress.
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    7 分
  • Understanding Classification - Cancer Detection and Beyond

    Understanding Classification - Cancer Detection and Beyond
    2025/02/15

    Today, we’re diving into a powerful AI concept that’s shaping industries worldwide—classification. From detecting cancer in medical scans to sorting emails, recognizing faces, and even protecting endangered species, classification helps AI make sense of the world by identifying patterns in data.

    So how does it work? And why is it so important? Stick around as we break it all down—from cancer detection and beyond!
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    11 分

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