På onsdag kan du lære om hva kunstig intelligens kan gjøre for din bedrift http://www.nitr.no/no/Moter/a6cc6750-6f65-d976-de7b-56263b6528b2
Professor Thomas Roth-Berghofer, Head of Research Cluster Digital Communities at the University of West London is giving a talk on “Smart University – The University as a (context) platform”.
The Smart University is the vision of the university as a platform that delivers foundational context data to drive the analysis and improvement of the teaching & learning environment. Low-cost motion detection and other sensors coupled with low-cost credit-card sized computers such as the Raspberry Pi open up opportunities to equip rooms with sensors. As the Raspberry Pi is a full-fledged computing device not only can one acquire data, but also process it in context. In this talk he will present this vision and some work that have done in the Centre for Intelligent Computing.
Time: Monday, 1st December, 13:15
Speaker: Thomas Roth-Berghofer
Title: Smart University – The University as a (context) platform
Professor Øyvind Brandtsegg has made a robot for an art installation at the Trøndelag Centre for Contemporary Art. It is an entity that listens, sees faces, and associates across these modalities. It is able to speak back and project neural memories of what it has seen. At the start of the exhibition it knows nothing, but learns as the exhibition progresses. During the night it “dreams” by consolidating its memories, and it uses a genetic algorithm to write some of its own control program. I have been responsible for the programming of the artificial intelligence. The exhibition opens tonight at 18, and there is also an “artist talk” on Saturday at 18. The exhibition lasts until 21. of December. A great chance to see AI in an art context!
For more see here.
Associated professor Trygve Solstad, from HiST is giving a talk on A positioning system in the brain: the role of computational models.
This year’s Nobel Prize in Physiology or Medicine was awarded to John O’Keefe, May-Britt Moser and Edvard I. Moser “…for their discoveries of cells that constitute a positioning system in the brain”. These cells have been given names like place cells, grid cells, head direction cells, and border cells.
Trygve Solstad will give an informal presentation of key discoveries in the field and discuss the role of neural network models in the ongoing work to understand how the different cell types work together to compute an animal’s position in space.
Time: Friday 31st, October, 12.15
Place: Room 454
Speaker: Trygve Solstad
Title: A positioning system in the brain: the role of computational models
A long week of demonstrating some of the different AI project we carry out with the Norwegian Public Roads Administration is done.
It has been a long week and would not have been a sucess with the help of some of our clever students. A big thanks to Christian Skjetne, who managed this with a steady hand. He was there all week, explaining to the public, Norwegian TV2 and the Minister of Transport and Communications.
Christian demoing platooning
It also included the intelligent traffic lights, and a possibility for people to drive a lorry using the Oculus 3D headset
Lorry driving in 3D
Finally, the Minister of Transport and Communications, Ketil Solvik-Olsen visited the stand and received an introduction to the use of autonomus robots in intelligent transportation systems.
Ingvald Strømmen, dean of the Faculty of Engineering Science and Technology, NTNU; Minister of Transport and Communications, Ketil Solvik-Olsen; and Christian Skjetne discussing robots
Trondheim had a very good presence at this year’s Internation Conference on Case-based Reasoning (ICCBR). We managed six presentations.
Odd Erik Gundersen from Verdande Technology presented work on “An Analysis of Long Term Dependence and Case-Based Reasoning” in the workshop on “Reasoning About Time in Case-Based Reasoning (RATIC)”, which he also organised
Pinar Öztürk presented “Intelligent Integration of Knowledge Sources for Textual Case Based Reasoning”.
Frode Sørmo from Verdande Technology gave a key note on “What I Talk About When I Talk About CBR”.
Kersti Bach from Verdande Technology presented “Automatic Case Capturing for Problematic Drilling Situations”.
Finally, Gleb Sizov presented work on “Acquisition and Reuse of Reasoning Knowledge from Textual Cases for Automated Analysis”
As the icing on the cake, ICCBR will coming to Trondheim in 2016!
The last Gemini Lecture before the summer will be on Big Data and AI in a Telecom context. Geoffrey Canright, program director at Telenor Research will give a talk on: “Telecom, Big Data, and AI: there’s plenty of room in the middle”.
Geoffrey Canright works on analysis of network patterns, in particular for social graphs in a context of telecommunication. His work includes, among other accelerating internet growth using viral spread; searching and navigating in documents for personal search engines; and analysis of communication patters. Canright has a background from psychology and statistical physics, and more that 13 years of experience in the telecommunication sector.
The lecture will be held Friday June 20th at 10.30 – 11.30 in Room 454 at the department of computer and information science (IDI), NTNU.
Time: Friday, June 20th, 10.30-11.30
Place: Room 454
Speaker: Geoffrey Canright
Title: Telecom, Big Data, and AI: there’s plenty of room in the middle
Professor Héctor Muñoz-Avila, from Lehigh University in the US, is now spending part of his sabbatical here at IDI. In the AI group. His research covers several areas, and he is especially well known for his work on combining case-based reasoning with other machine learning and problem solving methods, particularly applied to planning problems and games. Hector will give a talk on Thursday this week:
Time: Thursday 20th, 12.15
Place: Room 454
Speaker: Héctor Muñoz-Avila
Title: Goal-Driven Autonomy; Reflective learning for Real-Time
Sigve Dreyer will, as part of his master of science work talk about Evolutionary Feature Selection. His work has been motivated by increasing data-dimensionality and the need to construct simple induction models. He will discuss his work on how to construct an abstract feature selection algorithm capable of using many different wrappers, and how it is tested on a wide range of datasets, revealing both it’s abilities and problems.
This lecture will take place in room 454, Friday February 28th at 12:00. The talk will last for about 30 min.