News - Side 4

AI Innovation Webinar

The British Embassy in Oslo, UK’s Department for International Trade together with UK’s Science & Innovation Network would like to invite Nordic based companies, researchers and investors to a two-part webinar on AI businesses and research.

The first CEDAS Conference will take place on 1-2 June 2021!

Does your work involve data science? Are you curious about research in data science in Bergen? The CEDAS conference 2021 will be a 2-day event featuring talks and discussion by leading international scientists and local experts on the interaction between data science, statistics, machine learning, and AI, as well as their applications in science and society. The conference will also provide a friendly hybrid poster session to present your own work, and an opportunity to connect (meeting physically if regulations allow) with like-minded data scientists from around Bergen.

European Researchers organise the “European Vision for AI” event  for the General Public about the Present and Future of Artificial Intelligence in Europe.  

The biannual NOBIM conference provides a meeting place for researchers, students, and industry within image processing, pattern recognition, and machine learning to expose relevant research and development. It is a creative meeting between those who develop methods and seek solutions to specific machine learning and image processing problems. The NOBIM conference makes it possible to get in touch with a broader research environment in Norway.

The progress we have seen in artificial intelligence (AI) over the last decade has been impressive, but it is not sustainable, neither in an environmental, social or economical sense. It is still possible to adjust the path, because recent research towards more human inspired AI indicates that AI can become both more sustainable as well as more efficient. However, more human-like AI also brings ethical challenges that society must address, today. 

Maskinlæringsgruppa ved UiT har fått 12 millioner kroner fra Norges forskningsråd til et  prosjekt på banebrytende grunnforskning innen maskinlæring. Prosjektet har spesielt fokus på analyser av medisinske bilder.