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Dato fra ny til gammel

ENERGIX-Stort program energi

New Machine Learning Algorithms for the Calculation of Water Values

...markets featuring hydro generation such as the Nordic market, the optimal use of the...desired environmental goals and to maximise the socio-economic benefit of the power system....the industry has developed the concept of “water values” as the basis for conducting this...

Tildelt: kr 4,2 mill.

Prosjektperiode: 2021-2023

Sted: Oslo

NAERINGSPH-Nærings-phd

Applied Transfer Learning in the Energy Domain

...Machine learning is becoming increasingly important...power system, and machine learning algorithms are highly dependent on historical data....have superior results compared to traditional machine learning methods. They do require a...

Tildelt: kr 1,8 mill.

Prosjektperiode: 2021-2025

Sted: Trøndelag - Trööndelage

FRITEK-Teknologi

New Information Theoretic methods for Intelligent Data Analysis

...The goal of the three year IT-IDA postdoctoral...is to develop new machine learning algorithms for intelligent data analysis, such as robust...based on recently developed concepts in information the ory, Mercer kernel theory and graph...

Tildelt: kr 2,5 mill.

Prosjektperiode: 2006-2009

Sted: Troms - Romsa - Tromssa

FRIPRO-Fri prosjektstøtte

Beyond Worst-Case Analysis in Algorithms

...The field of theoretical computer science faces a...to estimate the computational complexity of problems, fails to explain the effectiveness of...this fundamental challenge, we will revise the foundations of computer science by moving...

Tildelt: kr 12,0 mill.

Prosjektperiode: 2021-2027

Sted: Vestland

IKTPLUSS-IKT og digital innovasjon

Next Generation Kernel-Based Machine Learning for Big Missing Data Applied to Earth Observation

...numerous scientific fields, severely degrading the power of learning and inference algorithms,...decision making and loss of accuracy. In the emerging era of big data, gaps in data...a big missing data problem. As a key solution, the KERNEO project will develop the next...

Tildelt: kr 8,3 mill.

Prosjektperiode: 2015-2019

Sted: Troms - Romsa - Tromssa

IKTPLUSS-IKT og digital innovasjon

Intelligent use of data to build optimization tools for cyber-physical systems in the process industry

...project aims to address the main challenges related to developing...for the process industries, which are: 1. Lack of good models that can be used in optimization...2. Wrong value of model parameters used in the optimization problem (online model update) 3....

Tildelt: kr 11,4 mill.

Prosjektperiode: 2019-2023

Sted: Trøndelag - Trööndelage

IKTPLUSS-IKT og digital innovasjon

School on Regularization Methods for Machine Learning

...works and how it can be emulated in machines is an age old dream and arguably one of the...and computational implementations, is at the very core of this endeavor. Recently, for the...able to solve complex tasks considered out of reach for decades. In most cases at the root of...

Tildelt: kr 49 999

Prosjektperiode: 2017-2017

Sted: Oslo

IKTPLUSS-IKT og digital innovasjon

Preproject; Real-time Clinical Nutrition Decision Support Systems

...assessment, diagnosis and treatment regimes in the clinics are based on established...from National nutrition procedures. However in the constantly growing patient database of the...on cognitive computing that can be used to find new patterns that might be important for giving...

Tildelt: kr 1,00 mill.

Prosjektperiode: 2015-2016

Sted: Oslo

NAERINGSPH-Nærings-phd

Machine Learning in Geoscience; Weakly-Supervised Seismic Facies Interpretation

...The proposed doctoral work will focus on the...that take advantage of existing knowledge in the fields of image processing, signal processing,...and unsupervised machine learning algorithms, and possibly combining them in a practice...

Tildelt: kr 1,9 mill.

Prosjektperiode: 2022-2025

Sted: Akershus

FRIPRO-Fri prosjektstøtte

Use Artificial Intelligence to pinpoint Dark Matter at the LHC

...are living in an extremely exciting time: The current paradigm change in computer science...on artificial intelligence (AI), combined with the highest statistics ever data from the...to shed light upon the long standing mystery of Dark Matter. This "invisible" component of...

Tildelt: kr 9,9 mill.

Prosjektperiode: 2021-2026

Sted: Vestland

FRIPRO-Fri prosjektstøtte

Data-driven Algorithms for Physical Simulations

...understood to be explicitly represented by the governing equations or numerical methods. The...computational power, and data storage in the last decade offers new opportunities for...areas, little attention has been paid to the intersection of the two. In order to enable a...

Tildelt: kr 12,0 mill.

Prosjektperiode: 2020-2025

Sted: Oslo

EUROSTARS-EUROSTARS

E!12894 An advanced investment tool based on machine learning and big data

...The AI Investment platform will be new solution...solution will be created based on the results of the proof of concept prepared in the project....will use the state-of-the-art machine learning (ML) algorithms: both in financial time...

Tildelt: kr 0,41 mill.

Prosjektperiode: 2019-2021

Sted: Oslo

NAERINGSPH-Nærings-phd

Statistical and machine learning for the analysis and prediction of faults and abnormalities in high dimensional sensor data on vessels

...project contributes statistics and machine learning methodology for exploiting new...and availability. Shipping is and will be one of the leading Norwegian industries. This project...which are known to be important in describing the status of various types of machineries and...

Tildelt: kr 1,7 mill.

Prosjektperiode: 2018-2023

Sted: Akershus

BIA-Brukerstyrt innovasjonsarena

Robotic self-propelled pipeline multisensory scanner - ROMUS

...The primary objective of this project is a robotic...pipelines and its immediate surroundings for defects and faults. The core challenge of...the pipes may be either filled with water or air which require a different set of...og gode sanitærforhold anerkjennes som menneskerettigheter. Det...

Tildelt: kr 15,0 mill.

Prosjektperiode: 2020-2023

Sted: Oslo

POS-ERC-Støtte til ERC søkere som oppnår god evaluering

Data-driven Algorithms for Physical Simulations - with applications to breast cancer growth modelling and treatment optimisation

...and hence are numerically challenging to solve. The plummeting cost of sensors, computational...in the last decade offers new opportunities for data-driven modelling of such physical...surprisingly little attention has been paid to the intersection of the two. In order to enable a...

Tildelt: kr 0,27 mill.

Prosjektperiode: 2018-2019

Sted: Oslo

PETROMAKS2-Stort program petroleum

Clamp-on Mud Flow Rate and Quality Measurement

...real-time information on drilling mud behavior accounts for a...efficiency and safety is a priority area in the OG21 strategy for NCS and high North drilling...Equinor approached Xsens AS 2018 for testing of clamp-on ultrasonic flow meters installed...

Tildelt: kr 3,2 mill.

Prosjektperiode: 2020-2022

Sted: Vestland

IS-BILAT-Mobilitet Norge-USA /Canada

Online-learning Intrusion Detection Systems (OL-IDS)

...activities, changing environments and lack of real labeled training datasets are challenging...guarantees the efficiency and effect iveness of IDSs and thus contributes to providing secure...with massive data and adversaries, since in these systems, manual coding of attack patterns...

Tildelt: kr 91 000

Prosjektperiode: 2012-2013

Sted: Innlandet

HAVBRUK2-Stort program for havbruksforskning

ERA-NET: (FORSTERK) RT-FIBEAN, Development of a real-time fish-behaviour analysis tool for early-warning applications in aquaculture systems

...The overall aim of this research is to develop an...detection of changes in fish behaviour via machine vision and machine learning to reveal...harmed. We have so far developed an under water camera system with the corresponding...forskning har som mål å utvikle et automatisert...

Tildelt: kr 0,22 mill.

Prosjektperiode: 2023-2023

Sted: Trøndelag - Trööndelage

SSF-Svalbard Science Forum

FEATURE DETECTION IN GLACIAL CHANNELS USING MACHINE LEARNING, RIS ID 11603

...For my master thesis I will be using machine...features to improve geometric reconstructions of glacial channels based on data collected from...campaign in 2021. There are two drifter platforms which will be deployed, one using GNSS...

Tildelt: kr 83 091

Prosjektperiode: 2021-2022

Sted: Oslo

IKTPLUSS-IKT og digital innovasjon

Gameplay prediction of reading difficulties (GAMEPLAY). A machine learning approach based on school starters serious gameplay

...has established the importance of early literacy interventions to...their reading difficulties. Early intervention for children with reading difficulties (RD) is...remained an error-prone process. In Norway, the national quality monitoring system has no...

Tildelt: kr 5,5 mill.

Prosjektperiode: 2021-2025

Sted: Oslo

IKTPLUSS-IKT og digital innovasjon

Testing of Learning Robots

...The future of industrial robotics is rooted in the...that can collaborate and learn with humans. These collaborative robots would have the ability...and improve their behaviours through the usage of machine learning algorithms. However,...

Tildelt: kr 10,2 mill.

Prosjektperiode: 2018-2022

Sted: Oslo

SFF-Sentre for fremragende forskn

Integreat - The Norwegian centre for knowledge-driven machine learning

...Machine learning (ML) is the mathematical and...Intelligence (AI), and as such a fundamental force of technological progress in our...however are that contemporary ML is neither explainable nor transparent, is often unfair,...

Tildelt: kr 155,6 mill.

Prosjektperiode: 2023-2033

Sted: Oslo

NAERINGSPH-Nærings-phd

Machine Learning in Geophysical Processing, Seismic Interpretation and Subsurface Modelling

...The proposed doctoral work will focus on the...in seismic images. Reflection seismic is the most commonly used technique used to portray...from a source and allowed to propagate through the earth. Parts of the emitted waves will be...

Tildelt: kr 1,8 mill.

Prosjektperiode: 2021-2024

Sted: Akershus

IKTPLUSS-IKT og digital innovasjon

PhysML: Structure-based machine learning for physical systems

...The majority of Norwegian industries are still a...to adopt AI and machine learning methods in their daily operations. One of the main barriers...to solving this challenge by combining machine learning models with the geometric...

Tildelt: kr 10,8 mill.

Prosjektperiode: 2023-2027

Sted: Trøndelag - Trööndelage

PES2020-Prosj.etabl.støtte H2020

MARie Curie Intelligent UltraSound

...additional image analysis and reporting will often double this time. Thus, cardiologists are...time on analysis/reporting tasks. To bridge the gap between clinical needs and currently...there is a need to develop competence in EU. New tools, capable of assisting the user to...

Tildelt: kr 0,20 mill.

Prosjektperiode: 2018-2019

Sted: Vestfold

IKTPLUSS-IKT og digital innovasjon

Data-driven cyber-physical networked systems for autonomous cognitive control and adaptive learning in industrial & urban water environments

...The main objective of INDURB is the design and...networked cyber-physical system (CPS) for autonomous control and continuous learning...and urban Water Distribution Networks (WDN). These networked systems are composed of a large...

Tildelt: kr 16,0 mill.

Prosjektperiode: 2017-2023

Sted: Agder

IKTPLUSS-IKT og digital innovasjon

Workshop on Ocean Modelling + Sampling => Control

...The world oceans are poorly sampled to understand...changes taking place rapidly, especially in northern waters relevant to Norway. The poor state of...manner at spatio-temporal scales across the micro and macro domains which are tightly...

Tildelt: kr 99 999

Prosjektperiode: 2018-2018

Sted: Trøndelag - Trööndelage

PES2020-Prosj.etabl.støtte H2020

PES Advanced Technology for EXtreme-SCALE Big-Data Analytics (EXSCALE)

...å skrive selve EU søknaden Selve prosjektet: The EXSCALE project will stand on three pillars:...to facilitate deployment on resources of arbitrary architectures (CPU, GPU, FPGA, ASIC)...edge, cloud, dedicated). 2. Second, novel machine learning algorithms for distributed...

Tildelt: kr 69 999

Prosjektperiode: 2019-2020

Sted: Oslo

IKTPLUSS-IKT og digital innovasjon

Quantum Machine Learning

...Machine learning on graphs induces correlations...How can non-local quantum resources enhance performance? We shall develop strategies for...and (neural) message-passing for quantum machine learning, based on quantum random walks on...vanlige innstillingen for kvanteberegning generelt er at...

Tildelt: kr 7,2 mill.

Prosjektperiode: 2016-2020

Sted: Vestland

IKTPLUSS-IKT og digital innovasjon

AI-Powered Testing Infrastructure for Cancer Registry System

...The Cancer Registry of Norway (CRN) collects data...as Cancer Registration Support System (CaReSS). The system uses a patient’s test results and...makes decisions, based on medical coding rules, often using machine learning. CaReSS evolves due...

Tildelt: kr 7,0 mill.

Prosjektperiode: 2020-2024

Sted: Oslo

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