AIML @ Lund University

Lund University

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The network for Artificial Intelligence and Machine Learning at Lund University (AIML@LU) is a university wide platform for research, education and innovation in the area. The network has been formed to consolidate these activities and simplify contacts with students, industry and society as a whole.

Machine learning and artificial intelligence has been on the curriculum at Lund University since the 1980’s. Today, AIML@LU represents a multidisciplinary research and innovation network, of particular relevance for the increasingly applied versions of AI & ML in our everyday lives, technologies and platforms. 

Beyond being a research area of its own, AI & ML is therefore also representing a set of methodologies with vast potential for innovations and business development as well as for research within disciplines like medicine, social sciences, the humanities, and  more. 

In addition, AIML@LU also represents scholarship on challenges and consequences of AI & ML as applied in society - such as ethical, cultural or legal.


The innovation system around Lund University is strong with organisations like LU innovation, Mobile Heights, MINC, Ideon Innovation and Teknopol.

 Examples of start-ups from Lund that develop and use AI and machine learning include Qlik (big data analytics and visualization), Axis (video analytics), Precise Biometrics (fingerprint reader), Hövding (world's first airbag bicycle helmet), Polar Rose (Face recognition), and Cellavision (cell classification). Machine learning and artificial intelligence has been on the curriculum since the 1980’s.

The AIML@LU Network

The AIML network consists of employees at Lund university and, mostly regional, industry or public sector. For now, the core infrastructure of the network is:

*If you want a message distributed to one or both sendlists, please contact one of the moderators: Jonas WisbrantKalle ÅströmJacek MalecStefan Larsson.

Related networks, centers and communities

COMPUTE – A research school dedicated to scientific discovery using computers

Digital Cultures – Providing cultural perspectives on the on-going digitisation of society

Digit@LTH – an organisational network and a portal for the competence available within the areas of computer science, electrical and information technology, automatic control, robotics and computer vision at LTH, Lund University

eHealth@LU – a collaboration platform for digitalisation of health and medical care

eSSENCE – The e-Science Collaboration organised by the universities of Uppsala, Lund, and Umeå

ELLIIT – The Linköping-Lund initiative on IT and mobile communication

WASP – Wallenberg AI, Autonomous Systems and Software Program