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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:
Algorithms
Algorithm research
Multiplication
Matrix multiplications
Machine learning
Deep learning
Artificial intelligence
DeepMind Technologies Ltd.
Acceso en línea:Ver este registro en EBSCOhost
Sumario: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.