Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices.
Chuan-Jia JhangCheng-Xin XueJe-Min HungFu-Chun ChangMeng-Fan ChangPublished in: IEEE Trans. Circuits Syst. I Regul. Pap. (2021)
Keyphrases
- artificial intelligence
- future trends
- lessons learned
- machine learning
- random access memory
- power consumption
- open issues
- memory space
- mobile devices
- knowledge representation
- case based reasoning
- key issues
- memory usage
- edge information
- trend detection
- ai systems
- low power
- intelligent systems
- edge detection
- expert systems
- smart phones
- data transmission
- edge map
- weighted graph
- limited memory
- edge detector
- real world