Carnegie Mellon University’s School of Computer Science, Software and Societal Systems Department invited computer science professor Miryung Kim to give a Distinguished Lecture regarding her work on “Software Engineering for AI” as part of their S3D Distinguished Speaker Series.

Software developers are rapidly adopting AI to power their applications. Current software engineering techniques do not provide the same benefits to this new class of compute and data-intensive applications. To provide productivity gains that developers desire, Kim’s research group has designed a new wave of automated testing and debugging methods for big data analytics and heterogeneous computing. She discussed the lessons learned from designing SE methods that target big data and HW heterogeneity as well as the open problems in this data and compute-intensive domain.

You can learn more about the lecture series and Kim’s work here: