Better Algorithms through Faster Math: The search for new algorithms that could reduce the time needed for multiplication is now at the center of data science.

The article focuses on the search for algorithms that can reduce the time needed for multiplication problems within the fields of machine learning (ML), deep learning (DL), and artificial intelligence (AI). Topics discussed include the history of matrix multiplication and the data science group Deep...

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Publicado en:Communications of the ACM Vol. 66; no. 6; pp. 11 - 14
Autor principal: Greengard, Samuel
Formato: Artículo
Publicado: Association for Computing Machinery Jun2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Better Algorithms through Faster Math: The search for new algorithms that could reduce the time needed for multiplication is now at the center of data science.
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        au: Greengard, Samuel
      su:
        Algorithms
        Algorithm research
        Multiplication
        Matrix multiplications
        Machine learning
        Deep learning
        Artificial intelligence
        DeepMind Technologies Ltd.
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          Algorithms
          Algorithm research
          Multiplication
          Matrix multiplications
          Machine learning
          Deep learning
          Artificial intelligence
          DeepMind Technologies Ltd.
      ab: The article focuses on the search for algorithms that can reduce the time needed for multiplication problems within the fields of machine learning (ML), deep learning (DL), and artificial intelligence (AI). Topics discussed include the history of matrix multiplication and the data science group DeepMind and their ML approach AlphaTensor.
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    language: English
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