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  2. One chart shows how AI will drive another decade of US stock ...

    www.aol.com/finance/one-chart-shows-ai-drive...

    JPM predicts that the US will continue to lead by market cap share in 2037 as artificial intelligence benefits expand beyond a few large tech names that have dominated the market rally.

  3. Think Nvidia Is Expensive? This Chart Might Change Your Mind.

    www.aol.com/think-nvidia-expensive-chart-might...

    This Chart Might Change Your Mind. Danny Vena, The Motley Fool. December 11, 2024 at 5:31 AM. Recent advances in artificial intelligence (AI) could have a profound impact on our lives. The ability ...

  4. 2 Top Artificial Intelligence Stocks to Buy in December - AOL

    www.aol.com/2-top-artificial-intelligence-stocks...

    2 Top Artificial Intelligence Stocks to Buy in December. Geoffrey Seiler, The Motley Fool. December 7, 2024 at 2:30 AM. ... Chart. TSM PE Ratio (Forward 1y) data by YCharts.

  5. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Artificial intelligence is used in astronomy to analyze increasing amounts of available data [166] [167] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...

  6. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    Graph neural networks are one of the main building blocks of AlphaFold, an artificial intelligence program developed by Google's DeepMind for solving the protein folding problem in biology. AlphaFold achieved first place in several CASP competitions. [38] [39] [37]

  7. Conceptual graph - Wikipedia

    en.wikipedia.org/wiki/Conceptual_graph

    A conceptual graph (CG) is a formalism for knowledge representation. In the first published paper on CGs, John F. Sowa used them to represent the conceptual schemas used in database systems. [1] The first book on CGs applied them to a wide range of topics in artificial intelligence, computer science, and cognitive science. [2]

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