where copernicus meets ai…
TRANSCRIPT
Where Copernicus meets AI…
in EU funding programmes
Cécile Huet, PhDDeputy Head of Unit
Robotics & Artificial IntelligenceDG CNECT - EC
EU strategy for AI
A STRATEGY FOR EUROPE TO LEAD THE WAY
Boost technological and industrial capacity & AI
uptake
Prepare for socio-
economic changes
Ensure an appropriate
ethical & legal framework
AI FOR GOOD AND FOR ALL
Digital Single Market
All Member States
& Norway + Swizerland
signed a Declaration of cooperation on AI
Member States agreed to work together on:
- ensuring Europe's competitiveness in the research and deployment of AI
- dealing with social, economic, ethical and legal questions
Joining forces EC with MS
7 December2018:
Coordinatedplan on AI published
COORDINATED PLAN on AI
COORDINATED PLAN on AI
All Member States to put in place AI strategy by mid 2019.
The coordinated plan will be reviewed annually
Coordinated plan on AI«Creating a Common European Data Space»
• The EU's Copernicus Programme is the biggest provider of earth observation and monitoring information worldwide. Copernicus has adopted a free, full and open data policy and has launched advanced Data and Information Access Services (DIAS), which co-locate a massive amount of structured data and computing capacities.
• Building on this, the Commission proposes to develop and deploy AI capacities using Copernicus data and infrastructures to foster geo-location based services for climate, agriculture, air quality, emissions, the marine environment, water management, security and migration monitoring and citizen science.
• It will also launch initiatives to support AI powered exploitation of Earth observation data and information in the public and privatesectors.
• Member States and the Commission are planning to continue to develop integrated earth observation and AI machine learning solutions to support evidence-based policy making, implementation and monitoring in areas such as climate change, environmental protection, agriculture, urban development, disaster response, migration, infrastructure monitoring.
Coordinated plan on AI«AI for public sector »
EU strategy for AI
A STRATEGY FOR EUROPE TO LEAD THE WAY
Boost technological and industrial capacity & AI
uptake
Prepare for socio-
economic changes
Ensure an appropriate
ethical & legal framework
AI FOR GOOD AND FOR ALL
BOOSTING THE EU'S TECHNOLOGICAL AND INDUSTRIAL
CAPACITY: WP 2018 - 2020
Basic and industrial research
(health, transport,
agriculture, manufacturin
g, etc.)
AI-on-demand platform
Network of AI-focused
Digital Innovation
Hubs (DIHs)
Strengthe-ning AI
excellence centres
Setting up an
industrialdata
platform
€1.5 billion EC investments into AI in 2018-20
BY 70% INCREASE OF ANNUAL INVESTMENT
“The EU has made significant efforts over the past 15 years to open up public sector information and publicly funded research results for re-use, such as data generated by the EU's space programmes (Copernicus, Galileo).
With its initiative to improve the accessibility and re-usability of such data, this body of data will grow further.”
WP18-20: EUROPEAN AI-ON-DEMAND PLATFORM
THE Central access point – shared resource for Europe
Integrating tools and resources
Offering solutions and support to all users of AI to integrate AI into applications, products and services
Mobilisation of the community
Large project - 20M€ – 3M€ to be redistributed
Only the start Expect « CONTINUITY » until 2027 (at least)
https://www.ai4eu.eu/
SW/PROTO/DATA/SW/PROTO/DATA/
SW/PROTO/DATA/
SW/PROTO/DATA/
Services
USER
USERUSER USER
https://www.hub-franceia.fr/event/ai4eu-web-cafe-earth-observation-big-data-challenges-the-ai-change-of-paradigm-15h00/
Digital Single Market
The next Framework programme: post H2020
Goal beyond 2020: Increasing investments from
€4-5 billion / year today to €20 billion / year
AI in Horizon Europe AI in Digital Europe Programme
CAPACITY & DEPLOYMENT
Investing in capacity and infrastructure:
- Data
- Algorithms
- Experimentation & testing facilities
Investing in skills: AI developers and users
Boosting deployment:
- in every region
- by SMEs and mid-caps and areas
of public interest
- with help of Digital Innovation Hubs
R&D&I
Essential to maintain scientific and
technology competitive edge in AI
sovereignty of EU in AI
Implementation of strategic research and
innovation plans PPP
Research, technological development,
demonstration, piloting, proof-of-concept
AI in MFF: Complementarity & Synergies
R&I priorities + DATA & Infrastructure to support R&I
STATE OF THE ART TECHNOLOGY
DIGITAL EUROPE PROGRAMME:
CAPACITY BUILDING AND DEPLOYMENT
Digital Europe ProgrammeSpecific Objective 2. Artificial Intelligence
• 1. Creation of Common European Data spaces • Aggregate public information across Europe
• Open to public and private sector.
• Interoperability (semantic interoperability).
• 2. Development of common European libraries of algorithms • Accessible to all
• Companies and public sector identify and acquire most suitable solutions
• 3. World class reference sites for experimentation and testing of AI in real settings.
AI & DIGITAL EUROPE PROGRAMME (DEP): CAPACITY BUILDING & DEPLOYMENT
* Only some examples, others include manufacturing, security, finance, etc
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World class reference sites for
experimentation and testing
Co-investment with Member States for reference sites
Building on, developing and networking existing facilities for common benefit
1) Technology-centric:Testing and experimentation facilities for AI components based
on neuromorphic and quantum technologies
2) Application-centric:Reference sites for experimentation and testing AI in essential sectors such as
Smart Hospitals and Healthcare Agri-Food
Smart Mobility Manufacturing
Smart Cities …
DEP – Orientation
• Digital for a Clean Planet Actions
• High-impact deployments in the ICT sector - use environmental and other data for creating solutions and applications to achieve environmental and climate goals.
• It will also aim to 'green' ICT products and services, improving their energy efficiency and climate neutrality, of ICT products and services.
• Close synergies with Copernicus
DE Orientation – DATA«Establish EU-wide common data spaces»
• High-value datasets from the public sector: Pooling, preparing and making available high-value datasets, including space data and the geospatial data themes as a horizontal layer for use in different sectors.
• Availability of free and easy to use EU-wide datasets in areas such as geospatial and earth observation/environment
• Will include large-scale experimentation and AI use cases.
Planet Earth
Dynamic, interactive, compute and data intensive Digital Twin of Planet Earth:• to continuously monitor the health of the planet• perform high precision simulations• improve modelling and predictive capacities• support EU policy making and implementation
Creating the most powerful geospatial data andearth systems’ modelling and applications’ecosystem in the world by combining:• Digital infrastructures (networks, storage, cloud, HPC)• Data (Common European Data Spaces, Copernicus,
meteorology, climate, terrestrial, marine, geological…)• Data analytics/AI-enabled applications development
Build a number of digital twins to support mainpolicy priorities (link and merge over time), e.g.:• Climate Change (polar, sea-level, marine, coastal…)• Environment (biodiversity, circular economy, env. crimes)• Civil Protection (natural disasters, extreme events…)• Urban Areas (mobility, spatial planning, air pollution…)
