Data Science and AI

The Data Science and AI division engages in research and education within a growing area encompassing Data Science, AI and Machine Learning. With an increased demand for advanced information systems, computer applications, and autonomous decision making in nearly all areas of society, data science and AI are increasingly becoming necessary aspects of software development in general. 

For contact with the Data Science division, please see the staff list in the menu. 

Keep track of upcoming seminars in our calendar. or by joining our mailing list. The seminars are open to the public with speakers from both academia and industry. Feel free to reach out to us if you have something that you think would be interesting to present. 

Within the department there is also a separate unit of Data Science Research Engineers. These engineers support research projects within Chalmers with Data Science and Big Data services, through application via CHAIR.

What is Data Science, AI and Machine Learning?

Data science is concerned with the extraction of useful knowledge from large scale data, both for a deeper understanding of the data and for decision support. 

AI
is concerned with building intelligent systems based on machine learning, logic or other models. AI is a highly cross-disciplinary field, using methods from statistics and optimization, machine learning, algorithms (e.g. for inference and for handling large-scale data), as well as other computational techniques.

Machine learning (ML)
operates by automatic generalization from data, such that they learn to perform complex tasks without explicitly programmed rules. Machine learning is in turn based on foundations in algorithms, optimization and mathematical statistics.

Research

Most of our research is in cooperation with our partners in academia and industry, which we combine with significant basic research in ML and related areas:
  • algorithm theory (design, complexity, randomness)
  • optimization and operations research (scheduling, routing)
  • theoretical ML research (learning, decision-making)
  • health informatics, bioinformatics and computational biology
  • ML-based natural language processing (text analysis, summarization)
  • autonomous vehicles
  • mathematical modelling and problem solving 

Several of our research projects are supported by CHAIR (Chalmers AI research initiative) and WASP (Wallenberg (Wallenberg AI, Autonomous Systems and Software Programme) . The majority of our research is in cooperation with our partners in academia and industry, but we also do basic foundational research, like the example in the movie below. 

Education

The division provides a range of courses in data science, AI and machine learning. We also offer courses in mathematical modelling, algorithms, optimization, and related fields. We do a substantial part of the teaching in the following educational programmes:
We also provide tailored courses for industry in cooperation with Chalmers Professional Education, especially in the AI area. 

Utilization

The division is involved in outreach activities, e.g. via the Science Festival, for example 

Several spinoff companies have been started by people from the division: Carmen Systems (acquired by Jeppesen and then Boeing), Safelogic (merged with Jasper and then acquired by Cadence), Optisort/Refind, Machine Intelligence Sweden, and Dynamic Topologies.

Published: Thu 13 Jun 2019. Modified: Tue 18 Jun 2019