Webinar | eMemory's Embedded Logic-NVM Solution for AI Chip
[Webinar Introduction]
The huge breakthrough of recent artificial intelligence (AI) moves processing from the cloud to edge devices. This is enabled by the technological innovation of Al Algorithms from Neural Network (NN); however, it is challenging to fulfill all the needs of AI functions, including data inference and image/voice recognition. eMemory's analog memory solution addresses this challenge by the significantly reducing system operating power and realizing parallel computing operation.
eMemory already developed a new analog memory IP in the 55nm HV platform, optimized to compute multiply-accumulate (MAC) in Multi-Layer Perceptron (MLP) for next-generation AI Chips. eMemory’s analog memory solution improves the system implementation of mainstream CNN(Convolutional Neural Network) architectures. The solution does so with high accuracy through an analog in-memory computing approach, enhancing AI inference at the edge. As current CNN models may require more synapses (weights) for processing, it's difficult to have enough bandwidth. In contrast, our analogy memory solution stores synaptic weights in the floating gate-based NVM, offering significant improvements in system latency. Compared to traditional SRAM-based approaches, our solution delivers 10~100 times lower system power.