Speaker: Jukka K. Nurminen
Affiliation: Professor of Computer Science, University of Helsinki

Abstract

There is no AI without software. To build and deploy AI systems for real use far more is needed than machine learning models. In this talk, I will briefly describe the software engineering challenges in the development of AI systems. Surprisingly, the intersection of AI and SW engineering has only recently started to attract wider interest. I will, in particular, discuss the testing of AI systems, how it differs from classical SW testing, and what kind of new interesting problems arise. I will conclude with an example of our own work of fault injection to datasets for the testing of ML systems.

Bio

Jukka K. Nurminen started as a professor of computer science at the University of Helsinki in spring 2019. He has worked extensively on software research in industry at Nokia Research Center, in academia at Aalto University, and in applied research at VTT. His key research contributions are on energy-efficient software and mobile peer-to-peer and cloud solutions but his experience ranges widely from applied optimization to AI, from network planning tools to mobile apps, and from software project management to tens of patented inventions. He received his MSc degree in 1986 and PhD degree in 2003 from Helsinki University of Technology (now Aalto University). Currently his main interests are on tools and techniques for developing data-intensive software systems including testing of AI solutions, computational moral as well as software development for quantum computers.

Machine Learning Coffee Seminar is organized weekly by the Finnish Center for Artificial Intelligence (FCAI). The location alternates between Aalto University and the University of Helsinki.