Researchers from University of Notre Dame, Georgia Institute of Technology, and Villanova University published a technical paper titled “Probabilistic Memory for Trustworthy Edge Intelligence.” Summary: The paper introduces p-MEM as “a unified memory primitive” that samples at “the native memory bandwidth.” It reports reductions in instruction count, sampling latency, and energy for Bayesian neural network... » read more The post Probabilistic Memory Architecture That Bridges The Gap Between RNG Sampling and Memory Access (Notre Dame, Georgia Tech, Villanova) appeared first on Semiconductor En
Source: Semiconductor Engineering — read the full report at the original publisher.