The NL AI Coalition Erik Fledderus, SURF Director and chairman of - - PowerPoint PPT Presentation

The NL AI Coalition

Erik Fledderus, SURF

Director and chairman of the board

December 5, 2019 December 5, 2019 e-IRG workshop, Helsinki

Agenda

• Introduction to the Netherlands (Dutch) AI Coalition

– Core values – General proposition – Structure – Building blocks

• SURF’s contribution

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NL AI Coalition launched October 8th 2019

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What makes an AI Coalition necessary?

Artificial Intelligence will lead to major new breakthroughs in our society and economy, AI will bring our prosperity and well-being to a higher level and contribute to solving societal challenges.  AI reinforces the "winners takes all" phenomenon in a digital and data driven economy.  AI asks specific questions about how we realize the technological  AI asks specific questions about how we realize the technological potential without compromising public values and fundamental rights.  AI requires a joint approach and substantial public and private investments.  AI demands collaboration and addressing key assets on European level

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NL AI Coalition – core values

 Impact on societal and economical activities  Ambitious and action driven by participants  No duplication but connecting and strengthening of efforts  Innovation in value chains and ecosystems  Human centric and responsible AI  Human centric and responsible AI  Shared learning  Open, inclusive and representative (quadruple helix and multidisciplinary)

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NL AI Coalition – general proposition

Innovation through cooperation:

• across value chains, in ecosystems
• between different interest groups
• across multiple fields of expertise

This approach leads to:

• acceleration in implementation
• acceleration in implementation
• increased efficiency
• accelerated knowledge and experience building
• strengthening and utilizing (scarce) resources

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Netherlands AI Coalition – structure

Energy & Sustainability Security and law enforcement Smart industry Health, Care & Cure

Coalition Desk

liaisons

Human Capital

Building blocks Fields of application

Many more to follow

Coalition Desk

Operational support

Strategy Team

governance

Program Team

Implementation of action plans

Research and Innovation Data access and access Human centric, inclusive and responsible AI Start-ups and Scale-ups

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NL AI Coalition – Building blocks high level overview (1/2)

Human Capital

• Development of specific AI knowledge from different

disciplines

• Developing tools to enable working with AI technologies
• Development, attracting and retaining AI talent
• Life long learning of employees including managers

Research & Innovation

• Identify and resolve barriers to AI research
• Link between AI science and application
• Digital transformation of science itself (data driven)
• Application of AI for smart chains and ecosystems
• Life long learning of employees including managers

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• Application of AI for smart chains and ecosystems

Dec 5, 2019 De Nederlandse AI Coalitie

Dutch AI Coalition - Building blocks high level overview (2/2)

Data sharing

• Training on responsible data sharing
• Analysis of data sharing problems based on

actual AI cases

• Implementation of data sharing solutions
• Connecting with other data sharing initiatives

Human centric, inclusive and responsible AI

• Identify bottlenecks for social acceptance of AI
• Formulating practical, innovative and widely

supported solutions for these bottlenecks.

• Application testing in practical use cases and using

field labs.

• Cooperation (national and international) in various

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• Cooperation (national and international) in various

application areas for adoption and up scaling Start ups & Scale ups

• Access to risk capital
• Focus on value increase
• Access to datasets
• Access to research & innovation ecosystems

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SURF’s Open Innovation Lab

• From 2018-2020 SURF and mininstery of

Economic Affairs invested in SURF’s Open Innovation Lab: – Key technologies (quantum computing & networking, unified computing architecture, energy-smart computing, machine learning & AI, …)

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– Outreach (public-private partnerships): data hubs

Proof of Concept Pilot Service development Service Idea/Concept Phase-out New service Service New market service TRL 0 TRL 9

SURF Open Innovation Lab

Knowledge

Dec 5, 2019

Service improvement Knowledge

Innovation Lab

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Knowledge

SURF’s Open Innovation Lab

Machine Learning & AI

• Goals:

– develop and support new and advanced use cases of simulations that are substantially improved by applying deep learning algorithms – evaluate potential & build joint expertise and knowledge

• Motivation / impact:

– parallellism and Moore’s law reach their limits – leap-from performance & scaling of traditional numerical HPC applications, breaking limits of Moore’s law

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– leap-from performance & scaling of traditional numerical HPC applications, breaking limits of Moore’s law

• Approach: 4 use cases in different scientific domains

– Climate modeling – with Wageningen University – High-energy physics – with Nikhef / Radboud University – Life Sciences – with Utrecht University – Astrophysics – with Leiden University

• Interesting spin-off: close interaction with Intel Parallel Computing Center

Questions? More information: www.nlaic.com