Snakes on Høgskolen and biological AI

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Hi fellow techies,
What do spring in the air, a snake running on a Raspberry Pi, research on actual biological "computers" used for general AI, and free soda have in common? They will all be present at our next meetup the 25th of April.
We are delighted to invite you all to another meetup in FTC. For the second time, Høgskolen i Østfold will host this event. Høgskolen will provide a lecture hall as well as food and drinks at their campus in Fredrikstad.

We have an exciting program lined up for the evening.

Geir Afdal and Anne Marthe Fosdahl Wium - Presenting the PhD program "Digitalization and Society
Geir will do a intro to the program. Anne Marthe will talk about industrial Phd projects.

AI researcher and professor at HiØ Stefano Nichele – Intro to Østfold AI hub and research on biological neural networks
In this talk, Stefano will first introduce the Østfold AI hub (ØAI). The ØAI is an academic hub for research, education and innovation at the Østfold University College, hosting a wide variety of research project. Second, Stefano will introduce his ongoing research projects on foundamental AI research. Current methods for training AI systems, such as in deep learning, are not biologically plausible. They require tremendous amount of energy and data for training, and they lack explainability. By looking at how the brain works, and how biological neural networks communicate and process information, it may be possible to develop AI systems that are less artificial and more true to biology, and therefore closer to replicating some of the key features of animal brains. In this presentation, Stefano discusses ongoing research using in-vitro biological neural network recordings, and novel bio-inspired AI models and substrates.

Developer Karl Solgård -This is how he made Cube Snake
The creator shares insights into the development process and highlights the surprising choice of using .NET for a project on a Raspberry Pi, which has sparked curiosity among many. This talk provides a glimpse into the technical aspects of the project and aims to showcase the versatility and possibilities of utilizing .NET in unconventional environments like the Raspberry Pi.