Applications of AI on Resource-ConstrainedHardware with a focus on Anomaly Detection
This thesis addresses the challenges of improving the performance of AI models on resource-constrained microcontrollers (MCUs). As the complexity of modern models continues to grow and the demand for smaller mobile devices increases, optimizing model latency, memory usage, and accuracy on tiny devic...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | Tese |
| Publicado em: |
Massachusetts Institute of Technology
2023
|
| Acesso em linha: | https://hdl.handle.net/1721.1/151408 |