To main content

Artificial Intelligence

Today humans are surrounded by breakthroughs within the field of Artificial Intelligence. Algorithms based on artificial intelligence recognises text, speech, sounds and images – and they are changing the shape of our common future.

Contact persons

At SINTEF research is a part of the rapid and ongoing development of Artificial Intelligence. The objective of Ai research done by our scientists is to collaborate with our partners to build world-leading competence and to enable clients to be part of the progress.

Artificial intelligence is key to the smart analytics of larger volumes of data that cannot be processed by humans. Using artificial intelligence, we now have the opportunity to gain a competitive advantage by utilising the high-quality data and knowledge that we already possess.

It is said that the future is intelligent and that intelligence is about reaching complex goals. Ai@SINTEF is our laboratory for building, testing and achieving those goals. And we invite you to be a part of it.

News

On the wings with FLAIT to Qatar

On the wings with FLAIT to Qatar

Qatar has embraced Norwegian research on artificial intelligence in aviation, and a delegation from Bodø recently participated in a workshop in Doha, facilitated by the Qatar Civil Aviation Authority.

Deepfake is threatening trust in society

Deepfake is threatening trust in society

Will we be able to trust text and images in the future? Deepfake is being used not just for innocent fun, but also to influence voters in the world’s most powerful countries.

Projects

CliVa

CliVa

Start:
End:

Detect and mitigate climate change risk damage for optimal property value preservation

MarineGuardian

MarineGuardian

Start:
End:

In MarineGuardian, the goal is to develop more sustainable fishing practices by promoting innovative fishing gear and technologies.

OYO – Optimizing Yard Operations

OYO – Optimizing Yard Operations

Start:
End:

Optimizing Yard Operations (OYO) will provide innovative technology that incorporates optimization algorithms for planning resource-efficient stabling and shunting in train yards.

Research areas