|Data Science in Practice: Next seminar on 24 June at 4:30 pm about “Complexity shift through Machine Learning”|
RESEARCH: ARTIFICIAL INTELLIGENCE FOR DIGITAL TRANSFORMATION
Intelligent systems learn, without being explicitly programmed. They can acquire new skills, handle large amounts of data, and support autonomous intelligent decision making.
Networked and autonomous systems assume increasingly complex tasks. It is essential to ensure their reliability, safety and security, through appropriate design and deployment.
Intelligent system design has to include social, ethical and legal issues. Trustworthy systems are enabled through transparent decision making, explainable algorithms, and privacy by design.
Innovation: solutions for the digital society
Networked intelligent technologies can radically reorganize production and service processes.
Mobility can be optimized through the digital networking of people, infrastructure and carriers.
Digialized research and therapy can better provide personalized treatment.
Intelligent systems enable target-specific teaching and personalized learning.