SALM aCAM reduces read energy by 33% versus 6T2M at same latency, eliminates gain and crosstalk limits, and maintains near-software accuracy in decision-tree workloads via latch sharing and dataset-aware optimization in 22 nm FD-SOI.
The use of multiple measurements in taxonomic problems
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
roles
dataset 1polarities
use dataset 1representative citing papers
Bloom filter encodings convert data samples to bit arrays that support comparable classifier performance to raw data across text, time-series, tabular, and image datasets while delivering consistent memory savings.
citing papers explorer
-
Bloom Filter Encoding for Machine Learning
Bloom filter encodings convert data samples to bit arrays that support comparable classifier performance to raw data across text, time-series, tabular, and image datasets while delivering consistent memory savings.