Develop and research a co-design methodology for mapping machine learning algorithms to the transistor level circuit implementations in edge computing in scientific applications.

High-Level Synthesis Tools and Methodologies for Embedded AI ASICs

Develop and research a co-design methodology for mapping machine learning algorithms to the transistor level circuit implementations in edge computing in scientific applications.

The development of machine learning algorithms and their optimizations are currently carried out in open-source frameworks such as TensorFlow or PyTorch in the python scripting or C++ language.