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Illustration picture research group Applied Artificial Intelligence

Applied Artificial Intelligence

Artificial intelligence (AI) is a huge driver for digitalization of society and is radically changing the way we work. The Applied Artificial Intelligence group aims at bridging the gap between theory and applications in the real world.

The Applied Artificial Intelligence (AI2) research group conducts research activities in the following areas:

  • Machine learning: supervised, unsupervised and reinforcement learning
  • Evolutionary computation, bio-inspired computation
  • Complex systems, multi-agent systems, game theory, statistics
  • Deep learning, recurrent neural networks, reservoir computing, neuro-evolution
  • Robotics and artificial Life

We apply AI methods to a variety of disciplines, such as healthcare and neuroscience, design and art, Internet of Things, computer vision and speech processing, imaging and 3D data, education and learning, climate, economy and finance.


SOCRATES (Self-Organising Computational Substrates)

Funded by NFR IKTPLUSS – 2017 / 2022
Collaboration between NTNU and OsloMet

Contact: Stefano Nichele

CAOS (Complex, Adaptive, Self-Organising Systems)

Lighthouse project as OsloMet, Technology Art and Design Faculty – 2017 / 2018

Contact: Stefano Nichele

Smart walking assistant with deep learning

Internal project – 2018 / 2021

Contact: Raju Shreshta

Pepper humanoid robot

Internal project, in collaboration with IBM Watson – 2017 / 2018

Contact: Stefano Nichele, Alex Alcocer

PACER (Patient-Centric Engineering in Rehabilitation)

Funded by NFR PROFESJON – 2018 / 2021
Collaboration with Department of Mechanical, Electronics and Chemical Engineering, Department of Product Design and Department of Physiotherapy at Faculty of Health Sciences, OsloMet

Contact: Hugo Lewi Hammer