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• Learning algorithms is an ever-increasing part of modern engineering

  Learning algorithms have already shown great promise to deliver high-performing solutions to complex dynamic problems ranging from walking robots to games. They are set to play an ever-increasing role in modern safety-critical infrastructure such as smart grids and intelligent transportation. However, their emergence in safety-critical systems is not without problems.

• Congratulations Esteban!

  Esteban won the best PhD thesis award of the Control Systems division of the EEA Club and the GdR MACS from the French CNRS (National Centre for Scientific Research). We talked to Esteban about his background, his research and his goals for the future.

• EECS researchers awarded prestigious fellowships

  EECS captures four out of five elevations to IEEE fellow awarded to Swedish academia.

• Towards complexity-aware-decision-making for robots

  Is it possible to optimise robots' decision-making so that decisions are good and simple? Yes, doctoral student Elis Stefansson's research has shown that. Now, he has won the Outstanding Student Paper Prize 2022 by the IEEE Control Systems Society Technical Committee on Hybrid Systems. This prize is given annually at the IEEE Conference on Decision and Control.

• 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.