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.
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:
- This web site aiml.lu.se
- The AIML internal-network-object in the LUCRIS database (Lund University research information system) resulting in a public post at portal.research.lu.se
- Two moderated mailing lists*:
- For LU staff (280 members)
- For not LU staff (230 members)
- To coordinate the activities there is a coordination group.