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.
Keep track of upcoming seminars in the Chalmers Machine Learning Seminars calendar
. The seminars are open to the public with speakers from both academia and industry. Feel free to reach out to if you have something that you think would be interesting to present.
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.
Most of the research at Data Science and AI is in cooperation with partners in academia and industry, which is combined with basic research in machine learning 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
- natural language processing (text analysis, representation learning, multimodality)
- autonomous vehicles
- mathematical modelling and problem solving
Several research projects are supported by CHAIR
(Chalmers AI research initiative) and WASP
(Wallenberg AI, Autonomous Systems and Software Programme).
The division provides a range of courses in data science, AI and machine learning. They also offer courses in mathematical modelling, algorithms, optimization, and related fields. They do a substantial part of the teaching in the following educational programmes:
Staff at Data Science and AI