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A Review of In-Memory Computing Architectures for Machine Learning Applications.
Sathwika Bavikadi
Purab Ranjan Sutradhar
Khaled N. Khasawneh
Amlan Ganguly
Sai Manoj Pudukotai Dinakarrao
Published in:
ACM Great Lakes Symposium on VLSI (2020)
Keyphrases
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machine learning
learning algorithm
pattern recognition
machine learning methods
computing power
learning tasks
artificial intelligence
natural language processing
machine learning algorithms
semi supervised learning
past experience
memory usage
statistical methods
data mining
knowledge acquisition
text classification
computational intelligence
text mining
data analysis
decision trees
computer vision
learning systems
computational biology
literature review
memory space
single instruction multiple data