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Primeur weekly 2019-01-07

Focus

What has EuroHPC in store for 2019? ...

Crowd computing

Nerdalize to announce bankruptcy ...

Quantum computing

Fujitsu launches next generation Quantum-Inspired Digital Annealer Service ...

Accenture awarded US patent for combining classical and quantum computing with potential to address previously unsolvable business problems ...

Quantum chemistry on quantum computers ...

Hybrid qubits solve key hurdle to quantum computing ...

Quantum Maxwell's demon 'teleports' entropy out of a qubit ...

Focus on Europe

Atos unveils modern and energy-efficient data centre with Yvelines departmental Council, positioning region as global technical hub ...

Forschungszentrum Jülich gets 36 million euro from German federal and state governments for computers of the future ...

Hardware

Mellanox Technologies names Doug Ahrens as Chief Financial Officer ...

SDSC's Trestles supercomputer still going strong more than three years later ...

Solarflare leads the way in making flash drive networking simple and scalable ...

Applications

Engine of cosmic evolution: Eve Ostriker looks under the hood ...

Atos reveals the 15 shortlisted teams of the 2019 Atos IT Challenge dedicated to Artificial Intelligence for Sustainability ...

Physicists record 'lifetime' of graphene qubits ...

Researchers monitor electron behaviour during chemical reactions for the first time ...

UK aid will be even quicker and smarter in 2019 ...

Four new eScience collaborations to start in 2019 ...

Research Data Netherlands to announce winners Dutch Data Prize 2018 ...

ASC Student Supercomputer Challenge provides a platform for international youth science and technology exchange ...

The Cloud

WekaIO achieves Amazon Web Services Storage Competency status for Primary Storage ...

Supermicro establishes new facility to optimize Cloud solutions with Intel in Europe ...

Supermicro report highlights environmental impact of today's Cloud-scale data centres ...

Four new eScience collaborations to start in 2019


12 Dec 2018 Amsterdam - The Netherlands eScience Center has initiated four new collaborative projects in the areas of Environment & Sustainability and Humanities & Social Sciences.

The projects are the result of the 2018 ASDI call for proposals. Scheduled to start in 2019, the projects are collaborations with research teams from multiple Dutch academic groups: VU University Amsterdam, Wageningen University, Tilburg University, and University Medical Center Utrecht.

The four projects are the following:

1. MOSAIC - MOdelling Sea level And Inundation for Cyclones, Dr. P.J. Ward, Vrije Universiteit Amsterdam

Coastal flooding due to tropical cyclones is one of the world's most threatening hazards with damages up to hundreds of billions of euros per event. The risks of coastal floods are projected to increase in the future due to sea-level rise.

Policy-makers need accurate estimates of current and future flood risks in order to take informed decisions on disaster risk reduction and climate change adaptation. A major scientific challenge is to assess global flood risk with hydrodynamic models that have high resolution and accuracy. This can only be achieved by developing a novel approach that combines cutting-edge disciplinary science and eScience technologies. The aim of this project is developing and validating a computationally efficient, scalable, framework for large-scale flood risk assessment. This framework incorporates two major innovations:

  • The researchers will simulate extreme sea levels for thousands of synthetic tropical cyclones, by using goal programming as a tool to reduce the computational costs and combine multiple tropical cyclones into one simulation
  • The researchers will simulate flood inundation at high resolution by nesting local models within a global model, by coupling their models with the OMUSE software which allows for a multi-scale modelling approach.

Within the project, they will use the framework to test whether these improvements lead to more accurate estimates of extremes sea levels, inundation extent and flood risk. To this end, they select the North-Atlantic as a case study area. The novel framework is an important step towards improved global assessments of flood risk.

2. Monitoring tropical forest recovery capacity using RADAR Sentinel satellite data - Demonstrating the potential of European Sentinel satellite data, Dr. ir. J. Verbesselt, Wageningen University

Recent extreme droughts combined with accelerating human exploitation are pushing tropical forests to the point where they cannot recover, making them vulnerable to large unprecedented wildfires. There is as such an urgent need to monitor the recovery capacity of tropical forests. While time series-based break detection approaches have demonstrated potential to measure tropical forest recovery capacity, they have not yet been applied over large amounts of satellite data. The reasons for this are twofold:

  • These methods require expert knowledge and are very compute intensive
  • They cannot be easily scaled over large amounts of satellite data

This proposal addresses these two critical bottlenecks by:

  • Exploring innovative solutions for automated parameter optimization
  • Making use of high-performance and distributed computing to dramatically reduce the practical runtimes for the involved methods

By adapting and combining these innovative technologies, the researchers intend to measure forest recovery capacity at unprecedented spatial and temporal scales using the new RADAR Sentinel-1 satellite data. By making data and algorithms more accessible and scalable, this project addresses an urgent need of Dutch service providers and will demonstrate the potential of European Sentinel satellite data for large-scale monitoring tropical forests.

3. Understanding visually grounded spoken language via multi-tasking - An alternative approach for intelligent systems to understand human speech, Dr. G. Chrupala, Tilburg University

Understanding spoken language is an important capability of intelligent systems which interact with people. Example applications which use a speech understanding component include personal assistants, search engines and others. The common way of enabling an application to understand and react to spoken language is to first transcribe speech into text using a speech recognition module, and then to process the text with a separate text understanding module.

The researchers propose an alternative approach inspired by how humans understand speech. Speech will be processed directly by an end-to-end neural network model without first being transcribed into text, avoiding the need for large amounts of transcribed speech needed to train a traditional speech recognition system. The system will instead learn simultaneously from more easily obtained types of data: for example, it will learn to match images to their spoken descriptions, answer questions about images, or match utterances spoken in different languages.

This proposal promises to be less reliant on strong supervision and expensive resources and thus applicable in a wider range of circumstances than traditional systems, especially when large amounts of transcribed speech re not available, for example when dealing with low-resource languages or specialized domains.

4. ePODIUM - Early Prediction of Dyslexia in Infants Using Machine learning, Dr. H.G. Schnack, University Medical Center Utrecht

Early detection of developmental dyslexia (DD), a specific reading disorder, will enable interventions at an early age, before the onset of formal reading and spelling instruction. Although deviations in early speech/language development have frequently been related to (risk of) DD, none of these markers - vocabulary; auditory brain responses (EEG) - have been successfully used to predict later language/literacy performance at the individual level.

Machine learning (ML) is a technique capable of discovering patterns in data to make such predictions. In the past decade ML has been successfully employed to predict psychosis, disease-course, age, IQ, etc. from measurements such as MRI and EEG. This project will use ML to explore if EEG data on speech processing in infancy can predict the occurrence of later literacy difficulties in individual children.

Application of ML to EEG recordings in infants at risk of DD and low-risk controls requires unconventional, beyond state-of-the-art eScience solutions. An important step of this project is validation of the discriminating patterns in an independent sample from our international collaborators. If successful, this research will open the way to further investigate the problem of prediction of (ab)normal development, ranging from DD, Specific Language Impairment, to autism and psychotic disorders such as schizophrenia.

Source: Netherlands eScience Center

Back to Table of contents

Primeur weekly 2019-01-07

Focus

What has EuroHPC in store for 2019? ...

Crowd computing

Nerdalize to announce bankruptcy ...

Quantum computing

Fujitsu launches next generation Quantum-Inspired Digital Annealer Service ...

Accenture awarded US patent for combining classical and quantum computing with potential to address previously unsolvable business problems ...

Quantum chemistry on quantum computers ...

Hybrid qubits solve key hurdle to quantum computing ...

Quantum Maxwell's demon 'teleports' entropy out of a qubit ...

Focus on Europe

Atos unveils modern and energy-efficient data centre with Yvelines departmental Council, positioning region as global technical hub ...

Forschungszentrum Jülich gets 36 million euro from German federal and state governments for computers of the future ...

Hardware

Mellanox Technologies names Doug Ahrens as Chief Financial Officer ...

SDSC's Trestles supercomputer still going strong more than three years later ...

Solarflare leads the way in making flash drive networking simple and scalable ...

Applications

Engine of cosmic evolution: Eve Ostriker looks under the hood ...

Atos reveals the 15 shortlisted teams of the 2019 Atos IT Challenge dedicated to Artificial Intelligence for Sustainability ...

Physicists record 'lifetime' of graphene qubits ...

Researchers monitor electron behaviour during chemical reactions for the first time ...

UK aid will be even quicker and smarter in 2019 ...

Four new eScience collaborations to start in 2019 ...

Research Data Netherlands to announce winners Dutch Data Prize 2018 ...

ASC Student Supercomputer Challenge provides a platform for international youth science and technology exchange ...

The Cloud

WekaIO achieves Amazon Web Services Storage Competency status for Primary Storage ...

Supermicro establishes new facility to optimize Cloud solutions with Intel in Europe ...

Supermicro report highlights environmental impact of today's Cloud-scale data centres ...