.png){kind=icon}
.png){kind=icon}
Return
Memristors for Bayesian in-memory computing
.png){kind=icon}
PRE
AI
DOI：10.1038/s41563-025-02409-1.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Memristors have been intensely investigated for memory applications and neural network accelerators. In this Comment, we discuss the requirements for how memristor technologies should evolve for Bayesian in-memory computing.
Keywords:
memristors
Bayesian computing
in-memory computing
neural network accelerators
memory applications
Journal
IF:
38.5
Papers:
6.8K
Citations:
11.5W