High Accuracy Low-Bit Quantized Neural Networks on a 10-cent Microcontroller
High Accuracy Low-Bit Quantized Neural Networks on a 10-cent Microcontroller
Staff
Wed, 05/08/2024 - 10:17
The BitNetMCU initiative streamlines the development of highly accurate neural networks for basic microcontrollers, such as the CH32V003, the famous 10 cents RISC-V MCU from WCH. Although recent attention has been on sophisticated AI tools like large language models and image generators, simpler AI applications are proving valuable across various sectors. For example, TinyML technology is enhancing manufacturing, environmental monitoring, and healthcare.
[original story: Circuit Digest]