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  • Frustration over parking fines led to action

    A frustration with parking fines led to the development of a parking app that can read signs and help avoid fines. Now KTH students Maximillian Claesson, Industrial Engineering and Management, and Zakarias Hedefalk, Computer Science, are aiming for European markets.

  • Four scientists on the future of AI

    Research in Artificial Intelligence was in focus when researchers and partners from Saab and Ericsson gathered for two days at CASTOR Software Days to discuss the research in the field.

  • GeneDisco Challenge

    We talked to Stefan Bauer who is organising a Machine Learning for Drug Discovery Workshop and GeneDisco Challenge, Friday 29 April.

  • New algorithm makes machine learning faster and more accurate

    The algorithm can improve the way smart devices in homes and workplaces work together. By reducing the frequency with which devices need to talk to a server while seamlessly handling different data between devices.

  • DARLING — Damaged and Repaired Blade Modeling with in-situ Experiments

    The project focuses on aerodynamic and aeromechanical evaluation and detection of degraded and damaged fan- and compressor blades, as well as repair actions, in modern aero engines. The project is coordinated by GKN Aerospace AB and continues an established collaboration between GKN, KTH and Stuttgart University, Germany. The collaboration with Stuttgart University allows Swedish partners access to advanced European experimental infrastructure in aerospace engineering which does not exist in Sweden.