| KEYWORD |
Lightweight AI inference on Embedded Systems
keywords ARTIFICIAL NEURAL NETWORKS, FPGA
Reference persons LUCA STERPONE
Research Groups DAUIN - AEROSPACE AND SAFETY COMPUTING LAB
Thesis type RESEARCH, INNOVATIVE
Description In recent years, the continuous development of artificial intelligence has largely been driven by algorithms, computing power and reliability. This thesis focuses on the design of inference methods of artificial intelligence implemented on programmable devices such as Field Programmable Gate Arrays. The design will focus on a lightweight model capable to address the issues of performance, cost, power consumption, flexibility, and robustness comprehensively. The thesis is performed in collaboration with the European Space Agency (ESA). It is planned a period as ESA intern during the framework of the thesis.
Required skills Neural Networks, Computer Architecture
Deadline 01/04/2023
PROPONI LA TUA CANDIDATURA