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.
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What is Data Science, AI and Machine Learning?
is concerned with the extraction of useful knowledge from large scale data, both for a deeper understanding of the data and for decision support.
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.
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.
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.
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.