ICAI: The Labs - AI for Cognition NL

Dec 16, 2021 · Amsterdam, Netherlands

In December, ICAI: The Labs is focused on AI for Cognition in the Netherlands. The Donders AI for Neurotech lab and the MasterMinds AI lab each present their work and discuss challenges and developments made in this field.

The Donders AI for Neurotech lab is a collaboration between the Donders Institute for Brain, Cognition and Behaviour; Radboud University, Phosphoenix, Advanced Bionics, Oneplanet Research Center and Abbott. The focus of the lab is to develop machine learning solutions for brain reading and writing that restore sensory and cognitive function.

The MasterMinds AI lab is a collaboration between collaboration between Tilburg University, Fontys Hogescholen, ROC Tilburg, Actemium, CastLab, Interpolis, Marel, Multisim, Municipality of Tilburg, Port of Rotterdam, Royal Netherlands Airforce, SpaceBuzz, TimeAware and WPG Zwijsen. The lab aims to develop AI technologies across multiple sectors in society in the field of aerospace, logistics, maintenance, and education focusing on robotics and avatars, serious gaming and learning, language and data science technologies and virtual and augmented reality solutions.

12.00 (noon): Opening

12:05: Introduction of the Donders AI for Neurotech lab by Umut Güçlü (RU)

12:10: Jaap de Ruyter van Steveninck (RU) presents "Deep learning-based optimization of visual prosthetic stimulation"

12.25: Introduction of the MasterMinds AI lab by Max Louwerse (TiU)

12:30: Evy van Weelden (TiU) presents “Brains on the Fly: how can brain activity be used in flight simulations?”

12.45: Discussion what’s next in AI for Cognition in NL

13.00: End
“Brains on the Fly: how can brain activity be used in flight simulations?”

Virtual reality (VR) has been used for training purposes in a wide range of industries, including education, healthcare, and defense. VR allows users to train in a safe and controlled digital environment while being immersed and highly engaged in a realistic task. One of its advantages is that VR can be combined with multiple wearable sensing technologies, allowing researchers to study (neuro)physiological and cognitive processes elicited by dynamic environments and adapt these simulations based on such processes. Our aim is to find objective measurements of training progress and to provide real-time feedback during VR flight tasks to enhance learning.
"Deep learning-based optimization of visual prosthetic stimulation"

Through electrical stimulation of neurons in the visual pathway with many electrodes, neuroprosthetics implants may provide a promising solution to restore visual perception in some forms of blindness. Especially implants in the primary visual cortex are expected to provide a wide range of therapeutic ability. Although an artificially generated prosthetic percept is relatively limited compared to normal vision, it may provide some elemental perception of the surroundings, re-enabling daily living functionality. One crucial challenge in the design of visual prosthetics is the choice of image processing protocol that transfers visual input to an appropriate electrode activation pattern. By intelligent scene simplification, one can capture the most important and task-relevant information from the visual surrounding and encode it into an intuitively interpretable prosthetic percept. In addition to the wide range of traditional computer vision algorithms, which are readily available, current research is focusing on more intelligent, deep learning-based, approaches for image processing for visual prosthetics. In this talk, I will evaluate some recent advancements and preliminary results on deep learning-based approaches for automated, adaptive and personalized optimization of prosthetic vision. Ultimately, these approaches may provide a more intelligent and tailored solution to the needs in the clinical population and even contribute to other domains in the field of neurotechnology.

Event organizers
  • Innovation Center for Artificial Intelligence Meetup

    Interested in the use of artificial intelligence for innovation? We focus on technology, on academic-industrial collaboration, and on sharing the outcomes of ICAI's labs.

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