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Looking beyond 2020
IEEE – 13th System of Systems
Engineering Conference - SoSE 2018
Sandro D'Elia - sandro.delia@ec.europa.eu (June 2018)
The overall context of EU research
Multiannual Financial Framework
budget proposal for
all EU programmes
including:
- Horizon Europe
- Digital Europe
- Connecting Europe
Facility Digital
The numbers
Digital Europe
Programme
9.2B€
Total R&I proposed
budget: 114.2B€
European Strategic
Investments
Horizon Europe
97.6B€
(Horizon 2020: 70B€)
Global Challenges and
Industrial Competiveness
pillar 52.7B€
Connecting Europe
Facility Digital 3B€
Digital and industry cluster
15B€
Research and
Innovation
The missions in Horizon Europe
Just one example / proposal:
A mission will consist of a portfolio of actions intended to achieve a bold and
inspirational as well as measurable goal within a set timeframe, with impact for
science and technology, society and citizens that goes beyond individual actions.
Integrated transport system reducing
car congestion by 50% in 10
European cities by 2030
…and by the way – every mission will
be in the end a “System of Systems”
Edge 2030 vision
The trends
Evolution of computing architectures (Heterogeneous, AI accelerators, Quantum processors, ASIC...)
Artificial Intelligence mainstreamed (and powered by big data)
Cyber-security a major concern for any application (and for governments, too)
Long term: synthetic biology, bio-processors, DNA computing
The challenges
No trust in Artificial Intelligence and autonomous systems => ROBOTS STEAL OUR JOBS
Too difficult / expensive to develop dependable, high quality software => SW DEVELOPMENT NOT FOR HUMANS
No access to internals of processors (not built in EU) => CANNOT GUARANTEE SECURITY
Energy consumption of computing not sustainable => BLOCKCHAIN NOT A SILVER BULLET
e.g. Intel Management Engine or
Qualcomm Secure Execution Environment According to one estimate, processing a bitcoin transaction
consumes more than 5,000 times as much energy as using a Visa credit card
Disclaimer:
This stuff comes from internal discussions – nothing decided yet!
at the frontiers between cyber,
physical and social systems
Privacy / security
Processing data at the edge, without transmitting and storing it in the cloud,
is good for privacy and security (and also for GDPR compliance)
Energy / spectrum
Data transmission is expensive. Mobile data transmission
depends on radio spectrum which is a limited resource
The constraints
please authorize
access to the
camera for
image processing
Should I
brake?
server error
please try later
Safety / latency / predictability
Autonomous systems cannot rely on cloud-based computing
in all situations (1ms = 300Km at speed of light)
Help me!
Edge 2030 vision
at the frontiers between cyber,
physical and social systems
Declaration of cooperation on
Artificial Intelligence
- 25 European countries signed a Declaration of
cooperation on Artificial Intelligence
- coordinated plan on AI by end 2018
EC communication 25/4/2018
- connect and strengthen AI research centres across Europe;
- support the development of an "AI-on-demand platform"
that will provide access to relevant AI resources in the EU for
all users;
- support the development of AI applications in key sectors.
… and what about Artificial Intelligence?
Ensure an appropriate ethical and
legal framework
- GDPR already in place
- AI ethical guidelines in 2019
- Product liability – interpretation guidance in 2019
2018: AI becomes “just another technology”
Edge 2030 vision
at the frontiers between cyber,
physical and social systems
AI needs data
Large cyber-physical
systems of systems are
the best applications of AI
Prepare for socio-economic
changes brought about by AI
Cyber-physical systems that people can trust and accept
Pillar 1: trust and acceptance
Make people trust complex autonomous systems:
- reduce (10x) number of bugs
- increase usability and human-like behaviour
- harden against cyber-attacks
- provide the technical foundations for explainable AI
technologies which can be trusted by humans
- from Emergent Behaviour to Emotional Intelligence
Most security problems
are primarily "just bugs"
(Linus Torvalds)
Edge 2030 vision – the objective
This means moving to
AI-assisted software
development…
Major research challenge!
Today there is no easy way to explain
decisions of a neural network
Bonus: software-based systems that need service just once per year
(like today’s cars, not like today’s operating systems :-)
…and by the way, online
code repositories can
provide the data to train AI
Systems of Systems which behave in a way
coherent with expectations of humans
Cyber-physical systems that people can trust and accept
Bonus: make careers in digital tech accessible for non-geniuses
(complexity of todays’ tech make development of advanced applications very difficult)
"dependability" as
the key feature of
software
Pillar 2: productivity
Increase productivity of EU companies by supporting
tools for development of dependable software,
addressing the reference markets: CPS, autonomous
systems, robotics, artificial intelligence, and delegating
complexity management to AI-enabled tools. Support
spreading of digital skills (policy).
Edge 2030 vision – the objective
Software 2.0
Cyber-physical systems that people can trust and accept
Bonus: significant contribution to Sustainable Development Goals
High-Performance Computing
today is limited by power
consumption of data centers
E.g.: neuromorphic,
approximate, bio-
inspired, DNA-based
Pillar 3: energy
Deliver orders of magnitude improvement in computing energy
efficiency, enabling on one side exascale high-performance
computing and on the other side "no-battery" applications in the
Internet of Things domain. Explore unconventional computing.
Edge 2030 vision – the objective
Pillar 4: hardware
Full access to hardware internals for European industry.
Availability of hardware that can be optimised for real-time,
delivering worst-case-execution-time guarantees, while
securing the performance of manycore chips.
Cyber-physical systems that people can trust and accept
Bonus: full EU sovereignty for defence and security application
Critical applications
need deterministic
behaviour, not possible
in multicore chips today
Lack of low-level access does not
allow full use of the hardware and
is a huge security backdoor
Edge 2030 vision – the objective
Need more Electronic Design in Europe!
Contacts
Sandro D'Elia - sandro.delia@ec.europa.eu
European Commission DG CONNECT
#DigitiseEU
@DigIndEU
http://bit.ly/futuriumDEI
http://bit.ly/europaDEI

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Looking beyond 2020 IEEE – 13th System of Systems Engineering Conference - SoSE 2018 - Sandro D'Elia

  • 1. Looking beyond 2020 IEEE – 13th System of Systems Engineering Conference - SoSE 2018 Sandro D'Elia - sandro.delia@ec.europa.eu (June 2018)
  • 2. The overall context of EU research Multiannual Financial Framework budget proposal for all EU programmes including: - Horizon Europe - Digital Europe - Connecting Europe Facility Digital
  • 3. The numbers Digital Europe Programme 9.2B€ Total R&I proposed budget: 114.2B€ European Strategic Investments Horizon Europe 97.6B€ (Horizon 2020: 70B€) Global Challenges and Industrial Competiveness pillar 52.7B€ Connecting Europe Facility Digital 3B€ Digital and industry cluster 15B€ Research and Innovation
  • 4. The missions in Horizon Europe Just one example / proposal: A mission will consist of a portfolio of actions intended to achieve a bold and inspirational as well as measurable goal within a set timeframe, with impact for science and technology, society and citizens that goes beyond individual actions. Integrated transport system reducing car congestion by 50% in 10 European cities by 2030 …and by the way – every mission will be in the end a “System of Systems”
  • 5. Edge 2030 vision The trends Evolution of computing architectures (Heterogeneous, AI accelerators, Quantum processors, ASIC...) Artificial Intelligence mainstreamed (and powered by big data) Cyber-security a major concern for any application (and for governments, too) Long term: synthetic biology, bio-processors, DNA computing The challenges No trust in Artificial Intelligence and autonomous systems => ROBOTS STEAL OUR JOBS Too difficult / expensive to develop dependable, high quality software => SW DEVELOPMENT NOT FOR HUMANS No access to internals of processors (not built in EU) => CANNOT GUARANTEE SECURITY Energy consumption of computing not sustainable => BLOCKCHAIN NOT A SILVER BULLET e.g. Intel Management Engine or Qualcomm Secure Execution Environment According to one estimate, processing a bitcoin transaction consumes more than 5,000 times as much energy as using a Visa credit card Disclaimer: This stuff comes from internal discussions – nothing decided yet! at the frontiers between cyber, physical and social systems
  • 6. Privacy / security Processing data at the edge, without transmitting and storing it in the cloud, is good for privacy and security (and also for GDPR compliance) Energy / spectrum Data transmission is expensive. Mobile data transmission depends on radio spectrum which is a limited resource The constraints please authorize access to the camera for image processing Should I brake? server error please try later Safety / latency / predictability Autonomous systems cannot rely on cloud-based computing in all situations (1ms = 300Km at speed of light) Help me! Edge 2030 vision at the frontiers between cyber, physical and social systems
  • 7. Declaration of cooperation on Artificial Intelligence - 25 European countries signed a Declaration of cooperation on Artificial Intelligence - coordinated plan on AI by end 2018 EC communication 25/4/2018 - connect and strengthen AI research centres across Europe; - support the development of an "AI-on-demand platform" that will provide access to relevant AI resources in the EU for all users; - support the development of AI applications in key sectors. … and what about Artificial Intelligence? Ensure an appropriate ethical and legal framework - GDPR already in place - AI ethical guidelines in 2019 - Product liability – interpretation guidance in 2019 2018: AI becomes “just another technology” Edge 2030 vision at the frontiers between cyber, physical and social systems AI needs data Large cyber-physical systems of systems are the best applications of AI Prepare for socio-economic changes brought about by AI
  • 8. Cyber-physical systems that people can trust and accept Pillar 1: trust and acceptance Make people trust complex autonomous systems: - reduce (10x) number of bugs - increase usability and human-like behaviour - harden against cyber-attacks - provide the technical foundations for explainable AI technologies which can be trusted by humans - from Emergent Behaviour to Emotional Intelligence Most security problems are primarily "just bugs" (Linus Torvalds) Edge 2030 vision – the objective This means moving to AI-assisted software development… Major research challenge! Today there is no easy way to explain decisions of a neural network Bonus: software-based systems that need service just once per year (like today’s cars, not like today’s operating systems :-) …and by the way, online code repositories can provide the data to train AI Systems of Systems which behave in a way coherent with expectations of humans
  • 9. Cyber-physical systems that people can trust and accept Bonus: make careers in digital tech accessible for non-geniuses (complexity of todays’ tech make development of advanced applications very difficult) "dependability" as the key feature of software Pillar 2: productivity Increase productivity of EU companies by supporting tools for development of dependable software, addressing the reference markets: CPS, autonomous systems, robotics, artificial intelligence, and delegating complexity management to AI-enabled tools. Support spreading of digital skills (policy). Edge 2030 vision – the objective Software 2.0
  • 10. Cyber-physical systems that people can trust and accept Bonus: significant contribution to Sustainable Development Goals High-Performance Computing today is limited by power consumption of data centers E.g.: neuromorphic, approximate, bio- inspired, DNA-based Pillar 3: energy Deliver orders of magnitude improvement in computing energy efficiency, enabling on one side exascale high-performance computing and on the other side "no-battery" applications in the Internet of Things domain. Explore unconventional computing. Edge 2030 vision – the objective
  • 11. Pillar 4: hardware Full access to hardware internals for European industry. Availability of hardware that can be optimised for real-time, delivering worst-case-execution-time guarantees, while securing the performance of manycore chips. Cyber-physical systems that people can trust and accept Bonus: full EU sovereignty for defence and security application Critical applications need deterministic behaviour, not possible in multicore chips today Lack of low-level access does not allow full use of the hardware and is a huge security backdoor Edge 2030 vision – the objective Need more Electronic Design in Europe!
  • 12. Contacts Sandro D'Elia - sandro.delia@ec.europa.eu European Commission DG CONNECT #DigitiseEU @DigIndEU http://bit.ly/futuriumDEI http://bit.ly/europaDEI