Trends and Challenges in Computing-in-memory for Neural Network Model: A Review from Device Design to Application-side Optimization
Neural network models have been widely used in various fields as the main way to solve
problems in the current artificial intelligence (AI) field. Efficient execution of neural network …
problems in the current artificial intelligence (AI) field. Efficient execution of neural network …
[HTML][HTML] Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators
Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024
machine learning accelerators 2019年JOS入选“中国科技期刊卓越行动计划” 2020年11月JOS被 …
machine learning accelerators 2019年JOS入选“中国科技期刊卓越行动计划” 2020年11月JOS被 …
Specific ADC of NVM-Based Computation-in-Memory for Deep Neural Networks
Non-volatile memory (NVM)-based Computation-in-memory has demonstrated a significant
advantage in high-efficiency neural networks. However, the requirement of analog-to-digital …
advantage in high-efficiency neural networks. However, the requirement of analog-to-digital …