In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges.
Kaushik RoyPublished in: ACM Great Lakes Symposium on VLSI (2022)
Keyphrases
- machine learning
- key issues
- data mining
- machine learning methods
- knowledge acquisition
- information extraction
- feature selection
- natural language processing
- learning systems
- case study
- natural language
- open issues
- memory space
- decision trees
- memory usage
- explanation based learning
- real world
- computer vision
- technological solutions
- computing power
- technical challenges
- memory requirements
- main memory
- statistical methods
- machine learning algorithms
- model selection
- text classification
- text mining
- knowledge discovery
- active learning
- data analysis
- pattern recognition