The 2019 Symposium of the Norwegian AI Society will take place from May 27 to May 28 at NTNU in Trondheim. The symposium aims at bringing together researchers and practitioners in the field of Artificial Intelligence from Norway and Scandinavia to present on-going work and discuss the future directions of AI. With the symposium NAIS provides a forum for networking among researchers as well building links with related research fields, practitioners and businesses.
| Time | Presentation |
|---|---|
| Monday, May 27 2019
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| 11:00 - 12:00 | Registration and Light Lunch
The symposium will take place at Kjelhuset, room Kjel 5, on the Gløshaugen campus. |
| 12:00 - 12:15 | Welcome and Introduction
Massimiliano Ruocco and Kerstin Bach |
| 12:15 - 13:00 | The history and future of the Norwegian AI Society
Agnar Aamodt and Odd Erik Gundersen |
| 13:00 - 14:00 | Technical Session I (chair: Odd Erik Gundersen)
Flávia Dias Casagrande and Evi Zouganeli: Activity Recognition and Prediction in Real Homes Deepika Verma, Kerstin Bach and Paul Jarle Mork: Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach Filippo Remonato, Ole Martin Lovvik and Espen Flage-Larsen: Effectiveness of Neural Networks for Research on Novel Thermoelectric Materials. A proof of concept. |
| 14:00 - 14:45 | Invited Talk: Vespa.AI
Jon Bratseth Abstract: The big data world has mature technologies for offline analysis and learning from data, but have lacked options for making data-driven decisions in real time. This talk introduces vespa.ai - a mature open source platform for storing, selecting processing and making model inferences over large data sets at end user request time. |
| 14:45 - 15:30 | Coffee Break and Poster Session
List of accepted posters |
| 15:30 - 16:30 | Technical Session II (chair: Massimiliano Ruocco)
Tønnes F. Nygaard, Jørgen Nordmoen, Kai Olav Ellefsen, Charles P. Martin, Jim Torresen and Kyrre Glette: Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing Francesco Scibilia, Knut Sebastian Tungland, Anders Røyrøy and Marianne Bryhni Asla: Energy industry perspective on the definition of autonomy for mobile robots Kai Olav Ellefsen and Jim Torresen: Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks |
| 16:30 - 17:30 | Invited Talk: AI in the renewable energy sector(chair: Odd Erik Gundersen)
Bernt Viggo Matheussen, Agder Energi Abstract: This talk will focus on trends and challenges for industrial applications of machine learning. It will discuss price forecasting, hydropower optimisation and snow estimation. |
| 19:00 | Symposium Dinner at Bakklandet
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| Tuesday, May 28 2019
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| 9:00-10:00 | Panel: The status of AI in Norway: challenges and future directions (chair: Kerstin Bach)
Panelists: Ole Jakob Mengshoel (NAIL Director / NTNU) Klas Pettersen (CEO NORA) Signe Riemer-Sørensen (Research Scientist, Sintef Digital) Ola Tørudbakken (SVP Rackscale, Graphcore) |
| 10:00 - 10:30 | Coffee Break and Poster Session
List of accepted posters |
| 10:30 - 11:30 | Technical Session III (chair: Kai Olav Ellefsen)
Hege Haavaldsen, Max Aasbø and Frank Lindseth: Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik and Sang-Woo Kim: Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current Fredrik Vatsendvik, Åsmund Brekke and Frank Lindseth: Multimodal 3D Object Detection from Simulated Pretraining |
| 11:30 - 12:15 | Invited Talk: Bayesian preference learning (chair: Lars Hovind)
Arnoldo Frigessi, University of Oslo Abstract: Preference data occur when users express comparative opinions about a set of items, by rating, ranking, pair comparing, liking or clicking, indicating very incomplete and possibly self-contradictory opinions. The aim is to estimate for each user the individual ranking of the items. This is an important part of a recommender systems. We rapidly review our work on probabilistic approaches to preference learning, including the Mallows and Bradley-Terry models. We illustrate and discuss the use of these methods, comparing to matgrix factorisation approaches. Particularly interesting is the enhancement of diversity. This is joint work with Qinghua Liu, Marta Crispino, Ida Scheel, Valeria Vitelli, Øystein Sørensen, Elja Arjas. |
| 12:15 - 13:00 | Networking Lunch
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Technical papers will have a 20 min presentation, please leave 3-5 min for a discussion.
The NAIS 2019 proceedings can be downloaded from Springer.
Please note that the free download is only available throughout December.
To register for the symposium please fill out this form: Registration
Student (Master, PhD): 500 NOK
Regular Participant: 1000 NOK
Industy Participant: 1500 NOK
On-site Registration: 2000 NOK
Fees include particpation, symposium dinner as well as coffee and lunch break. Further the registration fee also includes the optional membership of the Norwegian AI Society for one year at no extra cost.
Submission Deadline: April 18, 2019
Notification Date: May 7, 2019
Camera-Ready Deadline: May 21, 2019
Workshop date: May 27 and May 28
Contributions are welcome from all areas of Artificial Intelligence and topics of interest include but are not limited to:
We welcome and encourage the submission of high-quality papers that have not already been published elsewhere. Full papers should be written in English, formatted according to the Springer LNCS style, and not exceed 12 pages plus bibliography. Author's instructions, along with LaTeX and Word macro files, are available at Springer's website. We also invite submission of position papers. They must not exceed 6 pages and they should relate to an ongoing research, but can also present work that has been presented elsewhere. Please state clearly where the paper has been presented before. Position papers will be presented by the authors alongside regular papers. Selected papers will be invited for an oral or poster presentation.
We highly encourage early stage researchers and PhD students to submit their work.
Paper submission is electronic via easychair at the address: https://easychair.org/conferences/?conf=nais2019. We plan to publish the accepted papers in a formal proceeding, indexed by the national Cristin database. Papers must be written in English and formatted according to the Springer LNCS guidelines. Author instructions, style files and the copyright form can be downloaded here.
The symposium will take place at the Gløshaugen Campus of Norwegian University of Science and Technology (NTNU) in Trondheim. NTNU is Norway's main technical university, offering education and research in technology, engineering, natural sciences, and human and social sciences, with a total of 22.000 students. NTNU's main campus Gløshaugen is located only a 15-30 minute walk from most hotels in the city centre. The campus offers a wide range of lecture halls, all located in a compact area. In 2016, NTNU is merging with the three regional university colleges in Gjøvik (HiG), Åleseund (HIALS) and Trondheim (HiST), making NTNU the largest university in Norway.
We are grateful for our event sponsors that are keen to work with us in shaping the AI community in Norway.
