Rethinking compilers in the rise of machine learning and AI (keynote)

Abstract

Recent years have witnessed some influential progresses in Machine Learning (ML) and Artificial Intelligence (AI). The progresses may lead to some significant changes to future programming. Many programs, for instance, may be not code written in some specially designed programming languages, but high-level user intentions expressed in natural languages. Deep Learning-based software, despite the difficulties in interpreting their results, may continue its rapid growth in the software market and its influence in people's everyday life. This talk will first examine the implications of these changes to compiler research, and then discuss the potential opportunities that ML and AI could bring to possibly transform the field of compiler research.