Past events

The AutoICE Competition


November 23, 2022 - April 17, 2023. 


The winning team will be awarded a cash prize of €3,000. The teams in the 2nd, 3rd, 4th, and 5th place will receive “AI4EO points” that can be used to assemble their prize bundle from the prize catalogue. Resources will be provided to assist all participants during the challenge, such as tutorials and code repositories that will be essential to their project, and access to machine learning computing resources.


The Norwegian Computing Center, the Danish Meteorological Institute (DMI), the Technical University of Denmark (DTU), Polar View, Nansen Environmental Remote Sensing Center (NERSC) and ESA (European Space Agency), have created a challenge to bring together AI and Earth Observation players to address “automated sea ice mapping” from Sentinel-1 SAR data.


For more information, see:

Challenge website: https://platform.ai4eo.eu/auto-ice

Promotional video: https://youtu.be/Q9fNMnexhno

Explainer video: https://www.youtube.com/watch?v=iuXIeLPyKfg


30th Color and Imaging Conference 2022 (CIC30)

 

7-11 November (tentatively), Scottsdale, Arizona, US


After two years of meeting online, the 30th Color and Imaging Conference is scheduled to be held in person in early November 2022. Dates and exact location are being confirmed, but dates are tentatively November 7-11. 

 

CIC30 Details:

Call for Papers Journal First deadline: 15 May

Call for Papers Conference deadline: 6 June

Short Course and Workshop Proposals are welcome

Technical Program – held in person beginning 7 November


Links: www.imaging.org/site/IST/Conferences/Color_and_Imaging/CIC_2022/IST/Conferences/CIC/CIC_Home.aspx?hkey=a691641a-205a-47db-8df6-a5bbf629773a 

Call for Papers-First international symposium on the Tsetlin machine (ISTM 2022)

 

20-21 June, 2022, Grimstad Norway.

 

The emerging paradigm of Tsetlin machines makes a fundamental shift from arithmetic-based to logic-based machine learning. At the core, finite state machines, based on learning automata, learn patterns using logical clauses, and these constitute a global description of the task learnt. In this way, the Tsetlin machine introduces the concept of logical interpretable learning, where both the learned model and the process of learning are easy to follow and explain. As a result, it reduces the expertise needed to apply ML techniques efficiently in various domains. The paradigm has enabled competitive accuracy, scalability, memory footprint, inference speed, and energy consumption across diverse tasks, including classification, convolution, regression, natural language processing (NLP), and speech understanding.

 

Topics of interest include (but are not limited to):

• Tsetlin Machines

• Learning automata

• Novel AI Algorithms

• Explainable and Interpretable AI

• Energy-efficient AI Systems Design

• New AI Applications including signal and image processing

• Intelligent Data Preprocessing

 

Important Dates

• Paper Submission deadline: March 4, 2022

• Notification to authors: April 22, 2022

• Camera-ready submission deadline: May 20, 2022

   

Further information

www.istm.no

The 11th Colour and Visual Computing Symposium (CVCS 2022)

We are very happy to announce that the Colour and Visual Computing Symposium 2022 (CVCS 2022) will take place in Gjøvik, Norway, on 8. – 9. September 2022.

More information can be found at http://www.cvcs.no 

Important dates:

The call for papers is available here: Call for Papers