A Review of In-Memory Computing Architectures for Machine Learning Applications.
Sathwika BavikadiPurab Ranjan SutradharKhaled N. KhasawnehAmlan GangulySai Manoj Pudukotai DinakarraoPublished in: ACM Great Lakes Symposium on VLSI (2020)
Keyphrases
- 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