Investeringsoversigt
1469 investments
| Titel Sort descending | Periode | Program | |
|---|---|---|---|
| AI-Enhanced Framework for Regenerative Urban Design: Advancing Data-Driven Innovation in Architecture and Urban Planning | 2024 - 2027 | Industrial Researcher
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AI-Enhanced Framework for Regenerative Urban Design: Advancing Data-Driven Innovation in Architecture and Urban Planning
Period
2024 - 2027
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
56.13 Invested
1.1 mill. Budget
1.9 mill. Dette projekt sigter mod at anvende AI for at forbedre brugen af data i tidlige stadier af urbane projekter, understøttet af det regenerative paradigme. Ved at definere regenerative principper for arkitekter og urban designere, vurdere aktuelle urban dataformater, og udvikle en AI-dreven ramme, faciliterer projektet integrationen af regenerative løsninger i bydesign. Målet er at optimere beslutningsprocesser og fremme en fremtid med positiv indvirkning gennem innovativ design
Partners
The Royal Danish Academy of Fine Arts, Schools of Architecture, Design and Conservation, HENNING LARSEN ARCHITECTS A/S People
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| AI-guided Filtering Methods for voice pick up | 2024 - 2027 | Industrial Researcher
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AI-guided Filtering Methods for voice pick up
Period
2024 - 2027
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
57.76 Invested
1.1 mill. Budget
1.9 mill. Projektet fokuserer på forbedring af lydkvaliteten i online møder og fjernarbejdsområder ved at udvikle avancerede støj- og distraktionsfiltreringsteknologier til indlejrede enheder som øretelefoner og konferenceudstyr. På trods af tidligere forskning udfordres eksisterende metoder stadig af distraktioner, bevægelige talere og variabel støj. Målet er at optimere taleopfattelsen uden at gå på kompromis med kvaliteten. Dette opnås med en kombination af kunstig intelligens og signalbehandling.
Partners
Aalborg University, GN AUDIO A/S People
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| AI-TESTER: Improving Automated Video Game Testing via Machine Learning | 2024 - 2027 | Industrial Researcher
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AI-TESTER: Improving Automated Video Game Testing via Machine Learning
Period
2024 - 2027
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
68.7 Invested
1.1 mill. Budget
1.6 mill. Efterhånden som computerspil er blevet more komplekse med et behov for en kontinuerlig strøm af opdateringer med nyt indhold, slår tidligere tiders traditionelle produktionsmetoder ikke til. Formålet med projektet i denne ansøgning er at forbedre modl.ai’s automatiske test-løsninger ved at skabe kunstigt intelligente spillere, der kan finde og automatisk rapportere omkring programfejl og ydelsesproblemer i spillenes implementering.
Partners
IT University of Copenhagen, modl.ai ApS People
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| AIS Data Driven Ship Behavior Modelling | 2022 - 2025 | Industrial Researcher
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AIS Data Driven Ship Behavior Modelling
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
54.58 Invested
1.1 mill. Budget
2.0 mill. Partners
Roskilde University, TORM A/S People
TORM A/S
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| Aktiv dæmpning af et knækstyret køretøjs styresystem | 2021 - 2024 | Industrial Researcher
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Aktiv dæmpning af et knækstyret køretøjs styresystem
Period
2021 - 2024
Region
Region Syddanmark Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
52.81 Invested
1.1 mill. Budget
2.0 mill. Partners
Aalborg University, DANFOSS POWER SOLUTIONS ApS People
DANFOSS POWER SOLUTIONS ApS
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| ALGO: Autonomous Live Game Operations | 2019 - 2022 | Industrial Researcher
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ALGO: Autonomous Live Game Operations
Period
2019 - 2022
Region
Region Hovedstaden Program
Erhvervsforsker Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
68.7 Invested
1.1 mill. Budget
1.6 mill. Partners
IT University of Copenhagen, Tactile Games ApS People
Tactile Games ApS
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| Algorithms for nonsymmetric conic optimization | 2023 - 2026 | Industrial Researcher
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Algorithms for nonsymmetric conic optimization
Period
2023 - 2026
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
58.48 Invested
1.1 mill. Budget
1.8 mill. Formålet med dette projekt er at udvikle algoritmer til løsning af nonsymmetric conic optimerings problemer. Sådanne algoritmer bruges i optimeringssoftwaren udviklet og solgt af det danske firma Mosek. Såfremt projektet bliver en success vil det styrke Moseks position som en førende udbyder af optimeringssoftware på verdensplan.
Partners
Technical University of Denmark, MOSEK ApS People
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| ALMA - Advanced Language Models for write Assistant | 2019 - 2022 | Industrial Researcher
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ALMA - Advanced Language Models for write Assistant
Period
2019 - 2022
Region
Region Syddanmark Program
Erhvervsforsker Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
10.66 Invested
1.1 mill. Budget
10.1 mill. Partners
University of Southern Denmark, ORDBOGEN A/S People
ORDBOGEN A/S
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| Alment Engagement - AKB, Københavns understøttelse af beboeres hverdagsfællesskaber i almene boligområder | 2022 - 2025 | Industrial Researcher
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Alment Engagement - AKB, Københavns understøttelse af beboeres hverdagsfællesskaber i almene boligområder
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
50.42 Invested
1.1 mill. Budget
2.1 mill. Partners
University of Copenhagen, Boligselskabet AKB, København People
Boligselskabet AKB, København
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| Ambidextrous O&M capabilities in Offshore Wind Cluster | 2016 - 2021 | Industrial Researcher
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Ambidextrous O&M capabilities in Offshore Wind Cluster
Period
2016 - 2021
Region
Region Syddanmark Program
Erhvervsforsker Area
Energi, Klima og Miljø Investment
Percentage
54.25 Invested
964.000 Budget
1.8 mill. Partners
Syddansk Universitet, Fonden Energy Innovation Cluster People
Fonden Energy Innovation Cluster
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| Aminosyreoptag og anabolsk effekt af hydrolyseret kødprotein-indtag hos raske ældre | 2017 - 2020 | Industrial Researcher
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Aminosyreoptag og anabolsk effekt af hydrolyseret kødprotein-indtag hos raske ældre
Period
2017 - 2020
Region
Region Midtjylland Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
28.64 Invested
518.000 Budget
1.8 mill. Partners
DC Ingredients, Danish Crown People
DC Ingredients, Danish Crown
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| An ecologically valid outcome measure of communication difficulty caused by hearing loss | 2022 - 2024 | Industrial Researcher
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An ecologically valid outcome measure of communication difficulty caused by hearing loss
Period
2022 - 2024
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
43.52 Invested
828.000 Budget
1.9 mill. Partners
Technical University of Denmark, Eriksholm Research Centre People
Eriksholm Research Centre
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| An efficient method for low-noise marine propeller development | 2020 - 2023 | Industrial Researcher
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An efficient method for low-noise marine propeller development
Period
2020 - 2023
Region
Region Nordjylland Program
Erhvervsforsker Area
Produktion, Materialer, Digitalisering og IKT Investment
Percentage
100 Invested
1.1 mill. Budget
1.1 mill. Partners
Technical University of Denmark, MAN Energy Solutions, filial af MAN Energy Solutions SE, TYSKLAND People
MAN Energy Solutions, filial af MAN Energy Solutions SE, TYSKLAND
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| An end-to-end platform for enzyme engineering | 2022 - 2025 | Industrial Researcher
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An end-to-end platform for enzyme engineering
Period
2022 - 2025
Region
Region Hovedstaden Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
47.31 Invested
1.1 mill. Budget
2.3 mill. Partners
University of Copenhagen, Novozymes A/S People
Novozymes A/S
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| An investigation of the biochemical composition of selective macroalgae and how to optimize seeding and cultivation methods for large scale offshore cultivation. | 2016 - 2019 | Industrial Researcher
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An investigation of the biochemical composition of selective macroalgae and how to optimize seeding and cultivation methods for large scale offshore cultivation.
Period
2016 - 2019
Region
Program
Erhvervsforsker Area
Ikke defineret Investment
Percentage
59.31 Invested
1.1 mill. Budget
1.8 mill. Partners
Technical University of Denmark, Ocean Rainforest sp/f People
Ocean Rainforest sp/f
Read more about the project
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