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Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment

Kazunori D Yamada
doi: https://doi.org/10.1101/2023.05.25.542376

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doi 
https://doi.org/10.1101/2023.05.25.542376
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  • July 28, 2024.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

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  1. Kazunori D Yamada*,1,2
  1. 1Graduate School of Information Sciences, Tohoku University, Sendai, Japan
  2. 2Unprecedented-scale Data Analytics Center, Tohoku University, Sendai, Japan
  1. ↵*Corresponding author. E-mail: yamada{at}tohoku.ac.jp
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Posted July 28, 2024.
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Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment
Kazunori D Yamada
bioRxiv 2023.05.25.542376; doi: https://doi.org/10.1101/2023.05.25.542376
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