Presentation held at IP Expo 2018 by Anders Arpteg, Principal Data Scientist at Peltarion.
We have seen a large number of AI investments around the world recently, from both industry and governments that are building nationwide AI programs. The United States are leading today, but China has declared its intention to become "the world's primary AI innovation center" by 2030. The European Commission has outlined a three-pronged approach to increase public and private investment in AI. Countries such as France, Germany, Finland, and now also Sweden are building nation-wide AI programs. Why are we seeing all these investments now, what are the most recent AI advances, and can the Nordics keep up?
Key takeaways:
* Outline of top AI investments around the world
* Why we are seeing these investments now
* Examples of recent AI advances in academia and industry
* Can the Nordics keep up?
Read more AI news from Anders Arpteg and the Data Scientist team at Peltarion here: https://peltarion.com/overview/product-science-and-opinions
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AI introduction
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Artificial
Intelligence
Machine
Learning
Early artificial intelligence
stirs excitement
Machine learning begins
to flourish
Deep
Learning
Deep learning breakthroughs
drive AI boom
1950 1960 1970 1980 1990 2000 2010
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Why Deep Learning revolution now?
Algorithmic
improvements
Especially in deep reinforcement
learning but also normal DL (ReLUs
[Dahl et al., 2013], Dropout [Srivastava
et al., 2014], etc.)
Better
tooling
Libraries like TensorFlow
and Cloud Services
1
Increase of
training data
Large datasets of labeled
training data like ImageNet
Increase of
computing power
Especially GPUs &
Distributed Computing
2 3 4
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— Sergey Brin, President / Alphabet
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— Financial Times
Europe is behind in private investments in AI
€2.4-3.2 billion in 2016, compared to €6.5-9.7 billion
in Asia and €12.1-18.6 billion in North America
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AI initiatives
Sweden EU
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€1.5 billion for the period
2018-2020 under Horizon 2020
Boost public and private
sectors investments to
€20 billion by the end of 2020
Support development of an
"AI on-demand platform"
Access to relevant AI resources
in the EU for all users
Socio-economical impact
brought about by AI
Many jobs will be created,
but others will disappear and
most will be transformed
Appropriate ethical
and legal framework
European
AI Alliance European Commission
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Societal challenges
Workforce
Data ownership & privacy
Business transformation
Immature AI tooling
AI monopolies
Incentives for industry
Academic collaboration
Education supporting new society
Regulation without hindering innovation
Improved AI infrastructure and tooling
Concentrate efforts in SwedenCurrent AI state in Sweden
High digital literacy
Behind in research
Average in patents
Smart cities
Transportation
Health and medicine
Manufacturing
Financial services
AI potential
Double economic
growth in Sweden
Automate value chains
New business models
Transform sectors
Agenda 2030
Sustainable
development goals
Poverty, Health,
Environment, Education,
Equality, Energy,
Economic Growth
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Swedish AI Council
Mission
Skapa en svensk hållbar modell för artificiell intelligens (AI)
Goals
Definiera en svensk AI-modell
Bidra till den nationella debatten inom AI
Producera koncisa och sakliga rapporter
Fokus bör även läggas kring etik och regleringar
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Deep weather
Problem
Predict wind turbine energy production
Cost in Sweden due to poor prediction is about 4 bn SEK/year
Current solution
Finite element model for weather
Finite element model for wind turbine generator
Weather model + WTG model + statistical correction -> prediction
Predictions are slow and expensive
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Deep weather: the AI approach
Visible
IR
Vapour
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Deep weather: the model
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Deep weather: results
25.
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AI project
at Spotify
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Spotify architecture