CWI participates in new NWO Perspectief programme

In the coming years almost a hundred researchers are going to develop innovative technologies together with industry and social organisations. That will happen in six new Perspectief programmes, which have been given the green light by NWO, Netherlands Organisation for Scientific Research, on 21 November 2017. CWI's Machine Learning group participates in the programme Efficient Deep Learning Systems.

Publication date: 21-11-2017

In the coming years almost a hundred researchers are going to develop innovative technologies together with industry and social organisations. That will happen in six new Perspectief programmes, which have been given the green light by NWO, Netherlands Organisation for Scientific Research, on 21 November 2017. The programmes should lead to a new 3D printer for large metal components, more efficient deep-learning systems, extreme microscopy, new bacteria for the chemical industry, injury-free exercise and wearable robotics for people suffering from muscular disorder.

The board of NWO Domain Applied and Engineering Sciences (AES) is providing 21 million euros for six large-scale research programmes within the Perspectief funding programme. The companies, civil society organisations and knowledge institutes involved in the programmes will supplement NWO’s funding with another 11 million euros. The overall budget will support 74 PhD candidates and 25 postdocs in their work for the coming five or six years.

With Perspectief, NWO is challenging scientists to establish a close partnership with industry and social organisations. It concerns multidisciplinary research with a special emphasis on application. Together the parties will develop new research lines linked to the top sectors.
From technology producer to end user

Senior researcher Sander Bohte of CWI's Machine Learning group will participate in the programme called 'Efficient Deep Learning Systems'.

Efficient Deep Learning Systems

A computer that recognises dangerous situations on security footage: this is possible with deep-learning automated systems. But before this kind of system can operate independently, you have to design it and then train it with a huge number of examples. In addition, you need considerable computing power to let the system make decisions. At the Efficient Deep Learning programme, researchers are going to make deep learning much more efficient by using examples from daily life. They want to make it possible to use the technique for other automatic visual inspections, tissue analysis, smart maintenance of equipment and intelligent hearing aids that can handle noisy environments.

Programme manager: Professor H. Corporaal (Eindhoven University of Technology)
Participants: AIIR Innovations, ASTRON, CWI, Cyclomedia, Cygnify, Donders Institute, FEI, 2getthere, GN Hearing, Holst Centre, ING, Intel, Irdeto, Lely, Mobiquity, NLeSC, NXP, NVIDIA, Océ, Radboudumc, Schiphol, Scyfer, Sectra, Semiotic Labs, Siemens, Sightcorp, Sorama, SURFsara, TASS International, Tata Steel, TU Dresden, Delft University of Technology, Eindhoven University of Technology, Thales, TNO, TomTom, University of Twente, University of Amsterdam, 3DUniversum, VicarVision, ViNotion, VU Amsterdam, Wageningen University & Research

NWO TTW press release