JADS & KPN launch responsible AI Lab: Using AI in a Responsible Way

‘s-Hertogenbosch, May 15, 2020 – ICAI is joining forces with leading Dutch telecommunications and IT provider KPN and Jheronimus Academy of Data Science (JADS), for the launch of a new public-private research lab. The KPN Responsible AI Lab will focus on developing technologies that allow Artificial Intelligence (AI) to be used in a responsible way.

The lab will be based in ‘s-Hertogenbosch and will be one of the [ICAI](https://icai.ai) labs; the national network on technology and talent development between universities, industries and government in the area of Artificial Intelligence.

“We are extremely proud to welcome JADS and KPN with the KPN Responsible AI Lab as new partners in our national ICAI network. It is a very significant step that JADS and KPN join forces to help advance the development and use of AI in the Netherlands,” said Maarten de Rijke, Scientific Director of ICAI.

KPN and JADS work together on PhD research trajectories in the areas where data science, engineering, decision-making, privacy and compliance are all combined. The results of which will be used in practice to realize responsible AI solutions for the benefit of the company and its clients and the larger society.

JADS is the joint answer of the Technical University of Eindhoven and Tilburg University to the strongly increasing demand for experts who can improve decision-making processes within organizations, based on big data and a multi-disciplinary approach. Eric Postma, Scientific Director at the KPN-JADS Responsible AI lab comments: *”Data science is all about technology (mathematics, statistics and computer science), but always within the context of domain expertise on the one hand and social, ethical and legal issues on the other.”*

The goal of the Responsible AI lab, is to develop transparent, privacy aware, and personalized AI solutions for businesses.

For the next five years, six PhD students will work in the KPN Responsible AI lab on projects contributing to the technical and legal aspects of transparency, on data engineering approaches that ensure privacy-by-design, on personalized and responsible offerings through text analytics and responsible up-lift modelling.

“Within KPN we are committed in applying AI in a responsible way,” said Winifred Andriessen , Director Advanced Analytics at KPN. “Therefore we need multidisciplinary research both in AI technology as well as in how to use this technology in a societal optimal way. This is why we’re collaborating with JADS; a multidisciplinary institute combining technology and social sciences. This will move us a step closer to a company that not only has a deep understanding of the potential power of AI, but also a company that is able to transform this power into added value for its customers and the broader society like energy efficiency and fibre rollout.”

More information about Responsible AI Lab of JADS & KPN

AIM Lab starts with a grand opening

The official opening of the AI for Medical Imaging lab (AIM Lab) on Friday 31 January, was performed by Geert ten Dam (President of the Executive Board of the University of Amsterdam), Victor Everhardt (Alderman of the City of Amsterdam) and Xiantong Zhen (IIAI) by revealing the banner of the AIM Lab logo.

AIM Lab is a research collaboration between the Inception Institute of Artificial Intelligence (IIAI) from the United Arab Emirates and the University of Amsterdam. Scientific co-director of the lab Cees Snoek says “We are thrilled about this collaboration with the IIAI, a powerhouse in artificial intelligence research, and look forward to invent new technology for medical imaging together.” Cees Snoek, presented AIM Lab as the eleventh lab in the network of the national Innovation Center for AI (ICAI) and explained how such lab partnerships drive AI innovation, talent development and ecosystem growth.

Bram van Ginneken

Geert ten Dam

Victor Everhardt

 

After a word of welcome by Peter van Tienderen, the dean of the Faculty of Science of the UvA, Bram van Ginneken, professor at Radboud University Medical Center, gave a keynote on medical imaging. He explained its applications and the need for more research in the deep learning and computer vision technology underlying medical imaging.

This formed the bridge to the presentation of Marcel Worring, the other scientific co-director of AIM Lab. Marcel showed what the seven PhDs in the project will do on this topic and how the excellent scientific infrastructure of IIAI and UvA will help to create optimal synergy.  Before the official opening, Geert ten Dam gave a short speech indicating how AIM Lab fits in the Amsterdam agenda ‘AI Technology for People’ followed by Victor Everhardt who emphasized the important role he sees for AIM Lab and Science Park Amsterdam for the ‘Life Sciences and Health Strategy’ of Amsterdam.

More info on AIM Lab

Europees ai-netwerk Claire zetelt zich in Den Haag

In Den Haag staat sinds deze week het hoofdkantoor van Claire, het Europese samenwerkingsverband van organisaties actief in onderzoek naar kunstmatige intelligentie (ai). Het Haagse kantoor ondersteunt activiteiten in heel Europa en coördineert acht nevenvestigingen. Claire is het Europees antwoord op de miljardeninvesteringen van de VS, Canada en China in kunstmatige intelligentie.

Claire staat voor Confederation of Laboratories for Artificial Intelligence Research in Europe. Het is naar eigen zeggen ‘s werelds grootste netwerk voor onderzoek naar de inzet van ai. De organisatie werd in juni 2018 opgericht door Holger Hoos (professor machine learning van de Universiteit Leiden), Morten Irgens (adjunct-rector bij Oslo Metropolitan University) en Philipp Slusallek (wetenschappelijk directeur bij het Duitse Forschungszentrum für Künstliche Intelligenz).

Het onderzoeksnetwerk heeft tot doel om Europese initiatieven in kunstmatige intelligentie beter op de kaart te zetten en zo tegenwicht te geven aan ai-ontwikkelingen elders in de wereld. Het hoofdkantoor in Den Haag richt zich vooral op ai in de publieke sector, ai computing en data-infrastructuur, en de ontwikkeling van een focus op ai voor sociaal welzijn. Dit laatste gebeurt in het kader van de Duurzame Ontwikkelingsdoelen die de Verenigde Naties in 2015 vaststelden.

Bron: Computable.nl

TU Delft selected as ELLIS unit for AI and machine learning

The European Laboratory for Learning and Intelligent systems (ELLIS) have selected TU Delft for establishing one of its units for European research excellence in Artificial Intelligence (AI) and machine learning. The unit is comprised of top researchers who will work on tackling fundamental challenges in AI with a focus on research excellence and societal impact.

The Delft ELLIS unit will focus on using learning techniques as a key enabling technology to deal with complex tasks, and making intelligent systems adapt to their environment including social circumstances. The main goals of the Delft ELLIS unit are:

1. investigate intelligent systems that are sustainable in the long run and that have sufficient meaningful human control
2. understand how to use socially-aware AI to improve the effectiveness and efficiency of complex socio-technical systems and the quality of life for all members of society
3. develop – specifically in the context of technical systems such as infrastructures and robots – novel AI methods for making complex yet explainable decisions, for instance by humans-AI collaboration to explore the consequences of such decisions.

The Delft ELLIS unit is headed by Prof. dr. Robert Babuska, supported by Frans Oliehoek and Jens Kober (advisory board).

More info

ELLIS selects UvA as centre of excellence for the retention of AI talent

The University of Amsterdam has been selected by the European Laboratory for Learning and Intelligent Systems (ELLIS) as an ‘ELLIS Unit’ to keep talent in machine learning and related AI research fields in Europe. The unit will be based on the Amsterdam Science Park.

The initiative is intended to assemble top European talent in the field of machine learning to enable the continent to be competitive in modern AI and to benefit from the positive economic and social impacts that will flow from that. The ELLIS Units will gather together more than 200 million euros in financing over the next five years. In addition to Amsterdam, there will be centres of excellence in seventeen other European cities and in Israel.

Max Welling, professor of Machine learning at the UvA and leader of the ELLIS Unit in Amsterdam: ‘This ELLIS Unit will further strengthen the leading position of the University of Amsterdam in machine learning and artificial intelligence in Europe. The ELLIS network will facilitate the exchange of top researchers and students in the field of AI. I am very excited that the UvA has decided to wholeheartedly support this important movement to make Europe competitive in AI.’ As part of this initiative, the centre of excellence in Amsterdam will appoint three new senior researchers and six new PhD students.

About ELLIS
The European Laboratory for Learning and Intelligent Systems is a pan-European effort that was established in 2018 to promote European excellence of research in the field of machine learning and related areas. It aims to provide outstanding opportunities for European researchers to conduct their research in Europe and to nurture the next generation of young European researchers in this strategically important area.

NWO lanceert eerste nationale onderzoeksagenda voor AI

Nederland staat voor een keuze: laten we Artificiële Intelligentie (AI) op ons afkomen of geven we de revolutie mede vorm? Met de nationale onderzoeksagenda artificiële intelligentie AI Research Agenda for the Netherlands (AIREA-NL) kiest NWO voor het tweede. AI is razendsnel in ontwikkeling en een cruciale factor voor de toekomstige welvaart van Nederland. Dit brengt grote technologische en sociaalwetenschappelijke vraagstukken met zich mee. Wereldwijd worden in hoog tempo grootschalige AI-onderzoeksprogramma’s ontwikkeld.

Met deze onderzoeksagenda wil NWO focus en verbinding aanbrengen in het Nederlandse AI-onderzoeksveld en hierdoor het veld verder te versterken. Een solide en coherente AI kennisbasis is noodzakelijk als Nederland zelf een significante AI-speler op het wereldtoneel wil blijven spelen en de AI-revolutie mede vorm wil geven.

De agenda is donderdag 14 november aan de voorzitter van NWO overhandigd door de auteurs van de agenda. Lees hier verder.

NWO-voorzitter Stan Gielen neemt de AIREA-NL in ontvangst van Natali Helberger, Inald Lagendijk (trekker van de agenda), en Maarten de Rijke

UvA and TomTom open new research lab for autonomous driving

Atlas Lab: using AI for developing HD maps for self-driving vehicles

Location technology specialist, TomTom (TOM2), and the University of Amsterdam (UvA), today announced the launch of a new public-private research lab. Atlas Lab will focus on using Artificial Intelligence (AI) for developing advanced, highly accurate and safe high definition (HD) maps for self-driving vehicles. The lab is part of ICAI, the national Innovation Centre for AI, based in the Amsterdam Science Park.

In collaboration with TomTom, the UvA is embarking on research on the use of AI for creating HD maps suitable for all levels of autonomous driving. Theo Gevers, one of the Scientific Directors at Atlas Lab, comments: ‘At the UvA we are already doing research on automated recognition of items in images and videos. Yet the recognition of items and creation of HD maps in highly complex situations like a moving car, is still a huge challenge. This collaboration with TomTom provides an extra dimension to new and challenging AI-research.’

Professors Cees Snoek and Theo Gevers, CEO of TomTom Harrold Goddijn, Willem Strijbosch of TomTom, rector magnificus Karen Maex and director of the Informatics Institute Marcel Worring.

Professors Cees Snoek and Theo Gevers, CEO of TomTom Harrold Goddijn, Willem Strijbosch of TomTom, rector magnificus Karen Maex and director of the Informatics Institute Marcel Worring.

For the next five years, five PhD students will work in the Atlas lab on projects contributing to automated recognition of items like traffic signs, 3D-localization of vehicles and combining LIDAR (light detection and ranging) laser and camera images. For retrieving data, mobile mapping vans equipped with sensors, like LIDAR-systems and cameras, are being used.

‘TomTom is pushing the boundaries of the use of AI for making HD maps for self-driving cars,’ said Harold Goddijn, TomTom’s CEO. ‘We need groundbreaking research into AI technology, which is why we’re collaborating with UvA’s world-leading AI department on this initiative. This will move us a step closer to an autonomous future with safer roads, free of congestion and emissions.’

‘Nederland moet stevige inhaalslag in kunstmatige intelligentie maken’

Het Nederlandse bedrijfsleven wil dat Nederland de komende zeven jaar ruim €2 mrd investeert in kunstmatige intelligentie (AI). Van de overheid wordt ook een flinke bijdrage gevraagd. Met investeringen van deze omvang zou Nederland zijn achterstand inlopen op buurlanden Duitsland, Frankrijk en Engeland. Naar het artikel.

‘Willen we een land zijn dat zijn eigen kennis en technologie bezit?
Of een land dat het bezit is van de technologie van anderen?

Maarten de Rijke, directeur Innovation Center for Artificial Intelligence (ICAI).

 ‘Nederland moet competitiever worden. Dat kost geld.’
Max Welling, hoogleraar en vice-president bij Qualcomm

In het kort

– Dinsdag presenteert werkgeversvereniging VNO/NCW een ‘Nationale AI Coalitie’ die €1 mrd wil investeren.

– Steun wordt gevraagd van de overheid zodat de komende zeven jaar ruim €2 mrd geïnvesteerd kan worden.

– Bedrijven en universiteiten willen AI-talent naar Nederland halen en vasthouden.

Bron: Financieel Dagblad 7 oktober 2019

Redefining retail through technology: launch of AIR Lab Delft

On 4 October 2019 the AI for Retail (AIR) Lab in Delft, the Netherlands, held its official launch. The facility is an expansion of Ahold Delhaize’s AIR Lab in Amsterdam, created in partnership with Delft University. The focus of the lab is to research the future of robotics and develop state-of-the-art innovations in the retail industry.

The AIR Lab Delft is officially up and running and teams have started working towards developing the first prototypes and solutions in all the lab’s lines of research. This week’s event brought together the lab’s scientists in robotics and AI, operational employees, students and sponsors to celebrate the progress they’ve made.

 

AIRLab Delft group picture. Photo AD

AIRLab Delft group picture. Photo AD

The three-day event kicked off with a keynote presentation by AI and Robotics expert Pieter Abbeel, Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence Lab. His presentation, “Deep Learning to Learn,” focused on research about the difference between how robots and humans learn by imitation, and how scientists are working to enable robots to acquire new skills more quickly.

The AIR Lab’s store group invited employees on Wednesday to enjoy a program of events aimed at building enthusiasm about technology among young people. Participants received a tour of the AIR lab, along with the Botanical Gardens and Science Center.

On the third and last day, a morning meet-up was held to introduce new members who started working on projects in September and explain the AIR Lab Delft’s ambitious goals. The researchers were able to give short pitches for their projects.

Source: Ahold Delhaize

AIRLAB Delft

Strenge privacyregels hinderen medisch onderzoek in Nederland

Medische onderzoekers en AI-specialisten slaan alarm over de strenge Europese privacyregels. Die hinderen het onderzoek met behulp van kunstmatige intelligentie (AI). Dit zet een rem op de ontwikkeling van nieuwe medische behandelingen. Bovendien raken Nederland en Europa achter op de VS. Illustratie- Wijtze Valkema voor FD

Interview met onder andere de wetenschappelijk directeuren van twee ICAI Labs. Bram van Ginneken van het ‘Radboud AI for Health Lab‘ voor medisch onderzoek, een samenwerking tussen de Radboud Universiteit en het Radboudumc. En Cees Snoek van het ‘AI Lab for Medical Imaging‘, een samenwerking tussen de Universiteit van Amsterdam en het Arabische instituut Inception.

Bron: Financieel Dagblad 23 september 2019