SINTEF projects

The project enhances resilience, safety, and security of Automated Air Traffic Management under rare high impact events.

We develop systems for the collection of hydroacoustic data in commercial fishery, with processing and analysis methods enabling use in stock assessment and precision fishery.

Develop and validate circular and sustainable electronic products, manufacturing processes, and business models that enhance value creation and resilience in Norwegian electronics value chains.

Beam me up! aims to enhance building stock models for circular urban development by incorporating diverse data sources to predict construction material streams for reuse, repurposing, and recycling.

SINTEF and St. Olavs Hospital develop new technology for image guidance and artificial intelligence in bronchoscopy – to improve decision support in lung cancer diagnostics.

The project enables assurance-driven security engineering by combining AI-based assurance services, digital twins, and SecDevOps/MLOps to continuously assess, validate, and improve security and compliance across system lifecycles.

Provide better Arctic oil-spill detection using satellites and real-time monitoring, and enable faster, coordinated response to reduce environmental harm and protect communities.

This project focuses on responsible integration of artificial intelligence (AI) into general practice in Germany, specifically through co-development of an AI-powered chatbot.

Model and reduce the uncertainties in lifetime prediction of marine risers based on targeted probability levels using probablistic and multi-fidelity modelling relying on measurement data.

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

Integrated governance model for sustainable, resilient, adaptive, and people-centered urban transport

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

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

Developing a deep-learning model to automatically detect landslides from satellite images – supporting faster disaster response and safer land-use planning in a changing climate

BioClima project is a groundbreaking joint EU-China collaboration initiative that enhances how we monitor biodiversity and climate change by combining artificial intelligence with ground-based and satellite data.

Compliance by Design of Data/AI Operations and Pipelines

Beefutures, SINTEF and NINA are joining forces to gain insight into bee decline and environmental stressors impacting ecosystem health and biodiversity.

A collaborative forum gathering various stakeholders to explore key topics in the field of smart buildings and publish actionable insights to help tackle challenges in this industry.