Norvegia

Registro pubblico: dice quanto il paese rende trasparenti i suoi sistemi, non quanto li usa.

Settori principali

Casi più recenti

• MyMDT - My Medical Digital Twin (si apre in una nuova scheda)Norwegian University of Science and Technology · 2025 · in sviluppo o non indicatoMyMDT develops a personalised medical digital twin for hypertension, combining physiological modelling, machine learning, statistical methods, biosensor data and population-based research to support patient-specific prevention and treatment. Hypertension is a major public-health challenge because…
• Automated evaluations of applications at NAV (si apre in una nuova scheda)NAV · 2024 · in usoNAV processes a very large number of benefit applications each year, and manual handling of all cases can lead to delays and inconsistent outcomes. This use case addresses the need to improve efficiency while ensuring decisions comply with legislation. It involves NAV, applicants, and public…
• NorGPT - The open LLM "Made in Norway" (si apre in una nuova scheda)NorwAI and NTNU · 2024 · in sviluppo o non indicatoNorGPT forms part of Norway’s effort to develop large language models adapted to Norwegian language needs and national digital capacity. The core problem is that many large language models are optimised for English or broad multilingual use, while Norwegian users, organisations and public…
• Norwegian University of Science and Technology testing the utility and safety of Microsoft's AI assistant in public sector organisations (si apre in una nuova scheda)Norwegian University of Science and Technology (NTNU) · 2024 · in provaPublic sector organisations increasingly explore productivity assistants but lack clear guidance on organisational readiness, data protection and responsible deployment. In Norway, public institutions sought evidence-based insights before large-scale adoption. The objective of this pilot is to…
• AI for improvement of AID systems (si apre in una nuova scheda)Road Authority Norway (VTS) · 2023 · in provaNorwegian highway tunnels rely on Automatic Incident Detection (AID) systems to alert control centres to dangerous events, yet approximately 90 % of alerts are false positives due to misinterpretation of visual changes such as shadows or lighting variations. This pilot project investigates whether…
• DestinE Digital Twin Engine (DTE) workflow for weather forecasting. (si apre in una nuova scheda)Norwegian Meteorological Institute · 2023 · in sviluppo o non indicatoWeather forecasting increasingly requires methods that can quantify uncertainty, generate realistic scenario ensembles, and improve temporal detail without unsustainable computational cost. Within Destination Earth, this use case addresses that need by applying advanced generative machine-learning…
• AI decision support in medical emergency calls (si apre in una nuova scheda)Haukeland University Hospital (Helse Bergen) · 2022 · in provaEmergency Medical Communication Centres in Norway must rapidly identify stroke cases during 113 calls in order to dispatch appropriate ambulances and alert hospital stroke teams, yet symptom descriptions are often inconsistent and assessments depend on dispatcher experience, creating risks of…
• Automatisert saksbehandling med arkivmessige hensyn for kunstig intelligens (si apre in una nuova scheda)Norwegian Maritime Authority · 2022 · in sviluppo o non indicatoThe Norwegian Maritime Authority seeks to modernise certificate issuance and case processing through automation while ensuring proper archival compliance and long-term document preservation. Manual case handling can be resource-intensive and prone to inconsistencies in documentation management…
• AVENUE – Mobility Pilot Project in Stavanger (si apre in una nuova scheda)City of Stavanger · 2022 · in provaDesigning shared mobility policies that effectively contribute to greenhouse gas reduction is a growing challenge for medium-sized European cities. In Stavanger, authorities require robust evidence to understand how regulatory choices affect travel behaviour and emissions. The AVENUE pilot…
• FLAIT – AI-Assisted Airport Safety Reporting through Human–AI Teaming (si apre in una nuova scheda)Ministry of Transport · 2022 · in provaAirport aprons are complex, high-risk environments where aircraft, vehicles, and personnel operate in close proximity, leading to frequent safety incidents and costly damage. Despite the scale of the risk, safety reporting in many airports remains manual, time-consuming, and prone to…