Welcome to the webinar: Machine Learning with few data sets

Tuesday, March 9, 2021, 08:00 – 09.00, Zoom

We all are aware of how machine learning has revolutionized our world and has made a variety of complex tasks much easier to perform. In this event, we will talk about how the size of the data set impacts Machine Learning algorithms, how deep learning model performance depends on data size and how to work with smaller data sets to get similar performances.

8.00 - 8.05 Introduction
Michael Nilsson, Applied AI DIH North project manager, Luleå University of Technology 

8.05 – 8.15 A real life Machine Learning challenge
Niklas Karvonen, CTO, Substorm  

8.15 – 8.45 Machine Learning with few data sets, State-of-the-art & solutions
Marcus Liwicki, Professor of Machine Learning at Luleå University of Technology, and his team 

8.45 – 8.55   Q&A session
For those of you who want to discuss more in detail stay, and/or let us know so we can contact you afterwards.

Register to the event: https://simpleeventsignup.com/event/177729 
The Zoom link will be sent to all registered the day before.

About Niklas Karvonen
Niklas is CTO at Substorm and a machine learning expert who has a long experience of software development ranging from embedded systems to web. He has a PhD in Pervasive and Mobile computing, specialization: machine learning on resource-constrained systems.

About Marcus Liwicki 
Marcus Liwicki is chaired professor at Luleå University of Technology and a senior assistant in the University of Fribourg. His research interests include machine learning, pattern recognition, artificial intelligence et cetera. Marcus is a co-author of the book "Recognition of Whiteboard Notes – Online, Offline, and Combination”.

For more information and questions, contact: marie.nolin@ltu.se, 072-526 20 70


Bron Innovation, Skellefteå Science City & Luleå Science Park are arranging:

Data Science and AI in drug development– challenges and case studies from AstraZeneca

18 februari, 2021, 12:00,Online

AI is about the ability to reason, discover meaning, generalize, or learn from past experience. In the pharma industry we have for long time used computer models to learn from small datasets to predict what to do next in designing new active molecules, so called Machine Learning (ML) models. We have used advanced statistical analysis methods to interpret outcome from clinical trials and pre-clinical testing. The advances of compute power, algorithm and access to large datasets has started a new wave of interest to the field of AI.

Read more & Register


Webinar: AI-based business models

Jan 28 2021, 08:00 - 08:50

Many companies invest heavily in AI. However, managers often have little support when they aim to implement AI in their business, which can lead to project errors and unwanted results. By having a deeper understanding of AI-based business models, this can be avoided.

More info and registration:

This webinar is in swedish.

How can gender equality benefit your research, your project, your organisation, your business?

When:  26 Nov. 2020, 12:00 - 12:45
Where:  Online, Zoom
Language:  English

Welcome to an open webinar about Richer Business – a new digital tool for gender equal organizations and operations.

Read more 

A virtual tour in the 5G environment

On October 1, a webinar, a digital tour in the 5G test environment, was conducted at Luleå University of Technology. During the event, the participants were shown around the environment and received information about exciting 5G applications. A number of pre-recorded films were shown with interviews with researchers, companies and students.
Project manager Arne Gylling talked, among other things, about how it is done when you as a company come and test in the environment. A 360-degree camera showed around the environment both outside and inside. 

One of the projects that participated in arranging the webinar was the AI DIH North project. Artificial intelligence and 5G are technologies that reinforce each other. 5G transports data and information, enables huge amounts of data to be sent at extremely high speeds to unimaginably many devices, while artificial intelligence analyzes and offers opportunities for more efficient solutions. An example of this is the robotics group at the university that flies autonomous drones connected to 5G. This means that as soon as the drone has left the ground, there is no pilot in control. The drone is programmed to use AI to analyze its surroundings and make its own decisions, for example to be able to independently avoid obstacles. Autonomous drones can be used in many areas, for example to carry out risky inspections such as in mines. The robotics group is world-class in terms of robotics and drone technology, has won prestigious awards and collaborates with NASA.

- With the help of robotics, intelligent automation and simulation, very difficult and dangerous tasks can be performed. This is a growing subject area, both nationally and internationally. Robotics and artificial intelligence, for example, have been identified by the European Commission as one of the most important subject areas in the Horizon Europe 2021–2017 research initiative, said George Nikolakopoulos, professor of robotics and automation.

One of the companies that is involved and will conduct tests in the 5G environment is Compodium. It is a Luleå based company that delivers services in digital video conferencing and was the first in the world to provide secure digital care rooms. Bengt Grahn, founder of the company, said that he thinks it is super exciting to be involved and put his services on the latest radio technology.

Finally, the student Jesper Gladh was interviewed, who is now doing his ex-job in 5G and Virtual Reality at Ericsson.

The 5G environment is open and welcomes organizations to test products and services and is run together with Ericsson, Telia and Tieto Evry. The webinar was part of the EU's digital information campaign "My Europe", which is about disseminating information about EU-funded projects.

The event was organized by the projects:
Wireless Innovation Arena 
Applied AI DIH North 
5G for health and care in Upper Norrland 
Arctic 5G Test Network 


Welcome to a webinar about Chatbots

Wednesday, May 20, 2020, 08:00 – 08:50, Zoom

Welcome to the first AIM Point, a series of focused webinars about different hot AI topics of today. The AIM Point is an activity within the Applied AI DIH North project. First topic is about Chatbots!

8.00 - 8.05  Michael Nilsson, Applied AI DIH North project manager, will introduce the seminar.
8.05 - 8.10  Examples of challenges regarding AI at a municipality by Ola Lidström,  Process leader digitization, Piteå Municipality
8.10 - 8.40  Marcus Liwicki, Professor of Machine Learning at Luleå University of Technology, will talk about what a chatbot is, state of the art, what do we miss today, research challenges and future work.
8.40 - 8.50  A Q&A session will follow.

For those of you who want to discuss more in detail stay, and/or let us know so we can contact you afterwards. 

About Marcus Liwicki
Marcus Liwicki was born in 1982 in Berlin. In 2007, he defended his dissertation at the University of Bern in Switzerland, with a dissertation on automated handwriting recognition on whiteboard. He has been awarded both the CEBIT Innovation Award 2015 and the Young Investigator Award 2015. Marcus Liwicki presented his doctoral dissertation six years after he finished high school. At the age of 29, he then became the youngest professor of computer science in Germany. Today his research is largely about pattern recognition, on both a large and a small scale. It may be about loading satellite images to find geographical locations on other planets or teaching computers to read writing and analyze the text. Currently he is chaired professor at Luleå University of Technology and a senior assistant in the University of Fribourg.  Marcus Liwicki is a co-author of the book "Recognition of Whiteboard Notes – Online, Offline, and Combination", published by World Scientific in October 2008 and he has more than 200 publications.

Read more about Chatbots here:

Register to the event here:

Link to the Zoom webinar here: