Artificial Intelligence (AI) at the IE Faculty

Strategic Research Area

Artificial Intelligence (AI) at the IE Faculty

The Faculty of Information Technology and Electrical Engineering (IE) is dedicated to becoming an internationally leading research institution in several strategically important fields through targeted initiatives. As part of this commitment, the faculty is making clear priorities to develop its capabilities in artificial intelligence.

The IE faculty has a strong and diverse AI research community with interdisciplinary collaboration across several of IE's departments. We work with a variety of technology areas and approaches to AI, such as visual computing and image recognition, digital twins, robotics and autonomous systems, language technology, explainable AI, AI & IoT, and more.

Pictures AI @ IE

The Prime Minister of Norway visiting NTNU and the IE Faculty to kick-off for the new national digitalisation strategy in 2023. Pictured here with former Rector Anne Borg, NAIL Director Heri Ramampiaro and NTNU Assoc. Prof. Inga Strümke in the AI Lab. Photo: Amanda Schrøder/NTNU.
NorwAI Director Jon Atle Gulla introduces the annual NorwAI Innovate Conference - where over 200 representatives from industry, academia and decionsmakers meet. Photo: Kai T. Dragland, NTNU.
Associate Professor Inga Strümke is an avid research communicator from IE. In 2023, she was awarded the Research Council's Award for Excellence in Communication of Science. Photo: Kilian Munch/Riksrevisjonen.
NAIL Director Heri Ramampiaro frequently does talks on AI and its implications for society. Here he is pictured at an event by Trondheim Tech Port, one of NTNU's local collaboration partners. Photo: Sandra Skillingsås/Trondheim Tech Port.
Sparebank1 SMN is a close collaborator of NTNU wihtin AI. Recently the bank announced a 40MNOK investment into AI research together with the Norwegian Open AI Lab. Photo: Kai T. Dragland/NTNU.

News

Sparebank1 SMN collaboration with NTNU and NAIL – 40MNOK investment

“Christmas Eve, New Year’s Eve, and Constitution Day all at once”, was the description of the launch of SpareBank 1 SMN’s new collaboration with the Norwegian Open AI Lab. The bank is investing 40 million NOK over the next five years, and the funds will support research on responsible AI, combating financial crime, and developing expertise for businesses in Central Norway. We look forward to this exciting collaboration!

Contact

For information about NTNU's AI center applications for the RCN

For information about the IE Faculty's AI center applications for the RCN, contact:

person-portlet

For questions regarding this page contact:

For questions regarding this page, contact:

person-portlet

AI SoMe

Norwegian Open AI Lab

NorwAI SoMe

Norwegian Research Center for AI Innovation

Subscribe to newsletters

Norwegian Open AI Lab Newsletter

NorwAI Newsletter

Centers and initiatives

In addition to several centres including an AI component, the IE Faculty currently hosts two initiatives that have their main focus on AI: The Norwegian Open AI Lab (NAIL) and the Norwegian Research Center for AI Innovation (NorwAI). These two centers collaborate closely.

NAIL is a permanent AI initiative at NTNU. NAIL promotes NTNU's work on sustainable and reliable AI and serves as a network for entities working with, utilizing, and researching artificial intelligence. NAIL aims to create strong partnerships across academia, private industry, and the public sector by providing a meeting place, a framework for collaboration, and coordination of activities within the network. We seek to unite the AI community across NTNU and stimulate interaction with other universities and research centers to strengthen Norwegian research in the field.

NorwAI, funded by the Research Council, focuses on applied AI and big data. Running from 2020 to 2028, it aims to explore and implement new industrial products and services. NorwAI collaborates closely with partners to solve industrial problems, with a focus on language models, NLP, personalization, reliability, explainability, large-scale machine learning, hybrid AI, and societal implications.

Språkvelger