Tag Archives: open day

Video Presentation from IIIM & CADIA Open Day – Dr. Kristinn R. Thórisson

Image1-webDr. Kristinn R. Thórisson closed IIIM Open Day 2013 with a talk on Spatio-Semantic Knowledge for Intelligent Household Robots. He discussed how these robots will perceive and understand their environment, and could change the face of robotics.

This presentation is part of a series of presentations that were held on IIIM & CADIA Open Day in spring 2013.

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Video Presentation from IIIM & CADIA Open Day – Laboratory for Unmanned Vehicles

Image2-webOn IIIM & CADIA Open Day Dr. Leifur Thór Leifsson, Assistant Professor at School of Science and Engineering at Reykjavík University, presented the Laboratory for Unmanned Vehicles (LUV) and its projects. Vehicles that are being developed at LUV are Flapping-Wing Unmanned Air vehicle (UAV), Quadcopters, Autonomous Underwater Vehicles and more. Leifur is looking at potential usage of such vehicles, surroundings that have to be taken into account, etc. Flapping-Wing UAV is explored in more detail during this presentation.  Continue reading Video Presentation from IIIM & CADIA Open Day – Laboratory for Unmanned Vehicles

Simulated Self-Directed Growth of Human Tissue – IIIM Open Day Presentation

Image6-web In this presentation Guðrún Fema Ólafsdóttir, research assistant at IIIM, is introducing her project on simulated self-directed growth of human tissue. She aspires to create a new method for creating simulations of complex processes in the absence of a full mathematical model. Results of this project could benefit not only scientific but also medical understanding of biological processes.

This presentation is part of a series of presentations that were held on IIIM & CADIA Open Day in spring 2013.  Continue reading Simulated Self-Directed Growth of Human Tissue – IIIM Open Day Presentation

IIIM & CADIA Open Day video presentation – A New Kind of AI by Dr. Kristinn R. Thórisson

Image0-web During his presentation Dr. Kristinn R. Thórisson introduced the RU-led, EU-funded HUMANOBS project that produced a radically new approach to machine learning. Rooted in cybernetics, this approach allows computer agents to learn complex tasks by observation, without the detailed information needed up-front in prior approaches.

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