Presentation av Fredrik Heintz med fler från svenska AI-sällskapet om trender inom Artificiell Intelligens. http://www.sais.se/

1. AI Research in Sweden
– Challenges and
Opportunities
23 Augusti 2016
Vinnova, Stockholm

2. AI is Here
• “Machine learning is a core, transformative way by which
we’re rethinking everything we’re doing.” — Google CEO,
Sundar Pichai
• “The business plans of the next 10,000 startups are easy to
forecast: Take X and add AI. This is a big deal, and now it’s
here.” —Kevin Kelly

3. SAIS – The Swedish AI Society
• A society promoting research and application of Artificial Intelligence. Members
are Swedish universities, organizations, researchers, professionals and students
active in, or interested in the area of Artificial Intelligence.
• Part of the European Association for Artificial Intelligence EurAI (formerly ECCAI).
• Active since 1982.
• About 100 members.
• A representative board with representatives of both universities and industry.
• Main activities:
– Yearly workshop
– Yearly Master’s Thesis Award
– Information sharing: web site, mailing list, Twitter and Facebook
• Will organize the largest international AI conference IJCAI in Stockholm 2018 (will
also count as the European AI Conference). Will be a federated conference
including the main machine learning conference (ICML), and the main agents and
multiagent systems conference (AAMAS).

4. Major Trends
• Autonomous systems and Robotics
• Machine learning
• Data driven decision making
• Semantic technologies
• Cognitive computing / Q&A-systems

5. Autonomous Cars

6. Autonomous Cars

7. Humanoid Robots

8. Deep Learning + Reinforcement
Learning + Search

9. Cognitive Companions/Q&A Systems

10. Work in the Age of Automation?

11. AI RESEARCH IN SWEDEN

12. Blekinge Institute of Technology
• BigData@BTH (KK-Stiftelsen) – The research profile, Scalable
resource-efficient systems for big data analytics, combines existing
expertise in machine learning, data mining, and computer
engineering to create new knowledge in the area of scalable
resource-efficient systems for big data analytics. The value of the
new knowledge will be demonstrated and evaluated in two
application areas (decision support systems and image processing).
– I projektet ingår samarbete med flera företag, bl.a. Arkiv digital,
Compuverde, Contribe, Ericsson, Sony, och Telenor.
• Machine learning/data mining i samarbete med polismyndigheten
& national forensic center i projekt angående automatisk
brottsanalys och brottslänkning (bth.se/ccc) finansierat av EU,
Region Blekinge, och Vinnova i olika project.

13. Chalmers
• Automatic Large-scale Experiment Design for Drug Development - In this project
we are using techniques from reinforcement learning and Bayesian statistics to
find effective drugs as quickly as possible.
• Big data for sensor modelling - In this project, we are developing large scale
Bayesian analysis techniques for sensor modelling in autonomous vehicles.
• Learning, Privacy and the Limits of Computation - In this project, we are
developing learning and decision making algorithms that are fault tolerant and can
take advantage of approximate computation.
• Mechanism Design for Multiple AIs - In this project, we design market-based
mechanisms for the seamless co-operation of naturally and artificially intelligent
agents.
• Swiss Sense Synergy - In this project, we design methods for privacy preserving
crowdsourcing and recommendation systems.

14. Halmstad University
Most AI research focuses on the "awareness“ theme, more specifically on creating
human-aware, situation-aware and self-aware systems. Projects include:
• Data-driven methods for predictive maintenance in heavy-duty vehicles, in
collaboration with Volvo Technology (including several projects funded by Vinnova,
e.g. ReDi2Service and In4Uptime)
• Modelling typical behaviours and detecting abnormal situations related to
monitoring elderly people at home (e.g. Situation Awareness for Ambient Assisted
Living project funded by KK-Foundation)
• Mapping and understanding intelligent warehouse environment consisting of
articles and infrastructure (e.g. Automatic Inventory and Mapping of Stock project)
• Human activity monitoring using wearable sensors, including gait analysis, energy
expenditure and muscle fatigue (e.g. Human Motion, Categorization and
Characterization project)

15. Linköping University: AIICS
Division for Artificial Intelligence and Integrated Computer Systems
Knowledge Processing
Lab
P. Doherty
Knowledge Processing
Lab
P. Doherty
Planning & Diagnosis Group
J. Kvarnström
Stream Reasoning Group
F. Heintz
Unmanned Aircraft Systems
Technologies Lab
P. Doherty
Unmanned Aircraft Systems
Technologies Lab
P. Doherty
Autonomous Systems
Group
Perception & Control
Group
Applied Logics Group
A. Szalas
NFFP
VR
Wallenberg

16. Knowledge Processing Lab
Research in KPLab focuses on theoretical and practical aspects associated
with the representation of knowledge and the reasoning and inference
techniques associated with the processing of knowledge as used by both
physical and software artifacts.
• Multi-Agent Systems
• Theories of Action and Change
• Theories of Delegation and Cooperation
• Coalitional Game Theory
• Multi-Agent Systems
• Theories of Action and Change
• Theories of Delegation and Cooperation
• Coalitional Game Theory
• Planning & Diagnosis
• Automated Planning Techniques
• Temporal Planning and Scheduling
• Vehicular Diagnosis (Scania)
• Planning & Diagnosis
• Automated Planning Techniques
• Temporal Planning and Scheduling
• Vehicular Diagnosis (Scania)
• Cognitive Robotics
• Stream-based Reasoning
• Cognitive Perception
• FlexDx – Diagnostics & Testing
• Cognitive Robotics
• Stream-based Reasoning
• Cognitive Perception
• FlexDx – Diagnostics & Testing
• Applied Logics
• Approximate Reasoning
• Nonmonotonic Reasoning
• Soft computing
• Applied Logics
• Approximate Reasoning
• Nonmonotonic Reasoning
• Soft computing
• Machine Learning
• On-line Learning
• Machine Learning
• On-line Learning

17. Unmanned Aircraft Systems Technologies Lab
Research in UASTech Lab focuses on theoretical and practical aspects
associated with development of autonomous systems for unmanned aircraft
• Autonomous Systems Group
• Mixed Initiative Decision Support for Collaborative
UAS Systems
• Hybrid Robotic Architectures
• Motion Planning and Deconfliction
• Micro – UAV Platform Design
• Autonomous Systems Group
• Mixed Initiative Decision Support for Collaborative
UAS Systems
• Hybrid Robotic Architectures
• Motion Planning and Deconfliction
• Micro – UAV Platform Design
• Perception and Control Group
• Non-GPS Based Navigation
• Indoor/Outdoor Visual Navigation
• Flight Control Software for UAVs
• Flight Control Hardware for UAVs
• Perception and Control Group
• Non-GPS Based Navigation
• Indoor/Outdoor Visual Navigation
• Flight Control Software for UAVs
• Flight Control Hardware for UAVs

18. Linköping University cont.
• Semantic Web Technologies (Eva Blomqvist):
– EU-project VALCRI (Visual Analytics for Sense-
Making in Criminial Intelligence Analysis)
• Theoretical aspects of AI (Peter Jonsson,
Christer Bäckström)
– Constraint satisfaction
– Planning
– Spatial and temporal reasoning

19. Lund University
• Institutionen för datavetenskap (LTH)
– kunskapsrepresentation, språk, maskininlärning, HMI
• Matematiska institutionen (LTH)
– datorseende, maskininlärning
• Filosofiska institutionen (fakultet för humaniora och
teologi)
• Kognition, datorseende, maskininlärning
• Institutionen för statistik (ekonomihögskolan)
– Maskininlärning
• Huvudsaklig finansiering EU-medel, några VR-projekt
inom naturligtspråkbehandling.

20. Malmö University
• AI and Games
– Dr. Steve Dahlskog
– Dr. Jose Maria Font
• Autonomous Agents and Multi-Agent Systems
– Prof. Paul Davidsson
– Docent Jan A. Persson
– Dr. Johan Holmgren
– Dr. Åse Jevinger
– Dr. Radu-Casian Mihailescu
• Machine Learning
– Prof. Bengt Nilsson
• Adaptive Systems
– Dr. Romina Spalazzese

21. PAIN OUT (EU FP7) ”Case-Based
reasoning for clinical decision support”
(10+90 hospitals in Europe)
21
SafeDriver (KKS): A Real time Driver’s
State Monitoring and Prediction System
(Volvo car, autoliv, vti, ..)
Driving Performance
Monitoring and prediction
Driving Performance
Monitoring and prediction
DecisionLevelFusionDecisionLevelFusion
CREATE (ITEA), Aproc (FFI), MachOpt (FFI)
“Automated self optimizing production”
InHealth, Intelligent Decision Support
for Healthcare (KKS application)
Facial
Video
Vehicular
data
AI gruppen
Peter Funk
Mälardalen University

22. VDM, Vehicle Driver Monitoring
(VINNOVA)
CDSS/ TWO SELL Personalization and recommendation systems in health care/retail
AI gruppen
Peter Funk
Mälardalen University

23. SICS Swedish ICT
 BIDAF Big Data Analytics by Machine Learning methods and platforms. KKS-
funded, 2015 – 2020. With Halmstad University and Skövde University.
 BADA Big Data Analytics for the transportation industry. FFI-funded, 2015-2017.
With Scania, Volvo, Trafikverket.
 SADV Statistical anomaly detection of ship movements, MSB-funded 2010-2015,
deployed at the Swedish Coast Guard in January 2016.
 DIAGUIDE2 Diagnosis of trucks, with Scania, KTH, and Linköpings University.
Vinnova-funded 2015-2017.
 SLAM Mission planning in tactical communication networks. Together with Saab,
2012-2016.
Recent spinoffs from SICS with AI-technology:
 Gavagai – distributional semantics for text analysis
 WeMeMove – Classification of skii gears and training support
 Mavenoid – Diagnostics of machines and systems

24. University of Skövde
• At the University of Skövde, AI research is conducted within the Skövde
Artificial Research Group (Göran Falkman), ~18 researchers, and within
cognitive robotics (Serge Thill), ~16 researchers
• Central research themes are:
– Big data analytics
– Transparent decision-support systems
– Data- and information fusion
– Human-robot interaction
• Major research areas include:
– Deep learning
– Reasoning under uncertainty
– Visual analytics
– Data privacy
– Recommender systems
– Interactive autonomous systems
– Cognitive capabilities in robots

25. University of Skövde (cont.)
• Notable recent industrial collaboration:
– Advanced tactical decision support for future fighter
aircraft (Saab AB), funded by VINNOVA
– Big data fusion (Huawei and others), funded by the
Knowledge Foundation
– Development of robot-enhanced therapy for children
with autism (Aldebaran Robotics), funded by the
European Commission
– Picking the winners: Forecasting emergent technology
through bibliometrics/altmetrics, topic modeling and
information fusion (AstraZeneca, Recorded Future),
funded by the Knowledge Foundation

26. Stockholm University
• IRIS: Forecasted individual maintenance support based on systematic
knowledge of component states in inhomogeneous fleets of vehicles.
Funded by SCANIA and Vinnova between 2012-2017
• DADEL: High-performance data mining for drug effect detection. Funded
by SSF (Swedish Foundation for Strategic Research) between 2012 and
2016.
• NIASC: The Nordic Information for Action eScience Center. Funded by
Nordforsk (the Nordic research council) between 2015-2019, amount:
42MSEK.
• HAI-proactive: IT tool to prevent and treat healthcare-associated
infections. Funded by Karolinska University Hospital and Vinnova between
2016 and 2017, amount: 10MSEK.

27. Umeå University
Primary Focus of Research:
• Knowledge representation and reasoning, multi-agent systems, semi-
autonomous adaptive systems that include human actors, user modelling and
user adaptation, intelligent robotics
Example of projects:
• A number of research projects related to personalised and adaptive eHealth
solutions, partly in the form of cognitive companions (Falls prevention, COPD,
Ambient Assisted Living, preventing risks in mining work environments)
• Decision-support systems for clinicians and patients (dementia, incontinence)
• Intelligent walker
• Field and Indoor Robotics (EU-funded projects CROPS, SWEEPER, INTRO)
User, Knowledge and Interaction
Modelling Group
Assoc. Prof. Helena Lindgren
User, Knowledge and Interaction
Modelling Group
Assoc. Prof. Helena Lindgren
Intelligent Robotics
Prof. Thomas Hellström
Intelligent Robotics
Prof. Thomas Hellström
Department of Computing Science

28. Örebro University
Center for Applied Autonomous Sensor Systems
Cognitive Robotic Systems: knowledge representation, planning and scheduling, semantic
perception grounded in sensor data, and hybrid numerical-symbolic reasoning/inference

29. Örebro University
Center for Applied Autonomous Sensor Systems
Cognitive Robotic Systems: knowledge representation, planning and scheduling, semantic
perception grounded in sensor data, and hybrid numerical-symbolic reasoning/inference
Key Researchers
• Lars Karlsson (h-index: 20 GSC)
• Federico Pecora (h-index: 19 GSC)
• Amy Loutfi (h-index: 19 GSC)
• Alessandro Saffiotti (h-index: 38 GSC)
Key Projects
• ExCite (EU, 2010–2013) (*)
• Rubicon (EU, 2011–2014)
• Robot-Era (EU, 2012–2015)
• GiraffPlus (EU, 2012–2014) (*)
• MOnarCH (EU, 2013–2016)
• eCare@Home (KKS, 2015–2019)
• Semantic Robots (KKS, 2014–2017/2020)
• GeRT (EU, 2010–2013)
• RACE (EU, 2011–2014)
• Sauna (KKS, 2011–2014)
Key Researchers
• Lars Karlsson (h-index: 20 GSC)
• Federico Pecora (h-index: 19 GSC)
• Amy Loutfi (h-index: 19 GSC)
• Alessandro Saffiotti (h-index: 38 GSC)
Key Projects
• ExCite (EU, 2010–2013) (*)
• Rubicon (EU, 2011–2014)
• Robot-Era (EU, 2012–2015)
• GiraffPlus (EU, 2012–2014) (*)
• MOnarCH (EU, 2013–2016)
• eCare@Home (KKS, 2015–2019)
• Semantic Robots (KKS, 2014–2017/2020)
• GeRT (EU, 2010–2013)
• RACE (EU, 2011–2014)
• Sauna (KKS, 2011–2014)
Scientific Excellence
• Influential papers (105 WoS / 570 GSC citations)
• Two journal special issues
• Two VR-funded projects
• Two EU best project awards (*)
• Integration based on well founded approaches
• Manage the complexity of integration
• Published in top AI journal Artificial Intelligence
• Open-source tool used in four EU projects
Scientific Excellence
• Influential papers (105 WoS / 570 GSC citations)
• Two journal special issues
• Two VR-funded projects
• Two EU best project awards (*)
• Integration based on well founded approaches
• Manage the complexity of integration
• Published in top AI journal Artificial Intelligence
• Open-source tool used in four EU projects

30. Örebro University
Center for Applied Autonomous Sensor Systems
Mobile Robotics, Machine Perception and Interaction: evaluation of interaction quality of
systems with multiple actors, learning of sensor data, semantic perception and human-
systems interaction, mobile robot olfaction, mapping, localization, navigation
Object 322: Building
function: residence
Object 1322: railroad
Next to: object 1334
Object 5681: building
function: warehouse

31. Örebro University
Center for Applied Autonomous Sensor Systems
Mobile Robotics, Machine Perception and Interaction: evaluation of interaction quality of
systems with multiple actors, learning of sensor data, semantic perception and human-
systems interaction, mobile robot olfaction, mapping, localization, navigation
Object 322: Building
function: residence
Object 1322: railroad
Next to: object 1334
Object 5681: building
function: warehouse
Key Researchers
• Martin Magnusson (h-index: 5 WoS / 13 GSC)
• Henrik Andreasson (h-index: 8 WoS / 18 GSC)
• Amy Loutfi (h-index: 19 GSC)
• Achim J. Lilienthal (h-index: 28 GSC)
• Alessandro Saffiotti (h-index: 38 GSC)
Key Projects
• KRR for anchoring (VR, 2008–2011)
• Cognitive Olfaction (VR, 2010–2014)
• Large Scale Anchoring (VR, 2011–2015)
• WearAmI (EU/VR, 2015–2017)
• ReGround (EU/VR, 2015–2018)
• ALLO (KKS, 2012 – 2015)
• RobLog (EU, FP7, 2011 – 2015)
• Spencer (EU, FP7, 2013 – 2016)
• SAUNA (KKS, 2010 – 2013)
• Semantic Robots (KKS, 2014–2017/2020)
Key Researchers
• Martin Magnusson (h-index: 5 WoS / 13 GSC)
• Henrik Andreasson (h-index: 8 WoS / 18 GSC)
• Amy Loutfi (h-index: 19 GSC)
• Achim J. Lilienthal (h-index: 28 GSC)
• Alessandro Saffiotti (h-index: 38 GSC)
Key Projects
• KRR for anchoring (VR, 2008–2011)
• Cognitive Olfaction (VR, 2010–2014)
• Large Scale Anchoring (VR, 2011–2015)
• WearAmI (EU/VR, 2015–2017)
• ReGround (EU/VR, 2015–2018)
• ALLO (KKS, 2012 – 2015)
• RobLog (EU, FP7, 2011 – 2015)
• Spencer (EU, FP7, 2013 – 2016)
• SAUNA (KKS, 2010 – 2013)
• Semantic Robots (KKS, 2014–2017/2020)
Scientific Excellence
• Influential seminal papers (170WoS / 800GSC citations)
• Three journal special issues
• Four best paper awards
• Seven VR-funded projects
• Secretary of International Society for Olfaction
and Chemical Sensing (ISOCS)
Scientific Excellence
• Influential seminal papers (170WoS / 800GSC citations)
• Three journal special issues
• Four best paper awards
• Seven VR-funded projects
• Secretary of International Society for Olfaction
and Chemical Sensing (ISOCS)

32. Örebro University
Center for Applied Autonomous Sensor Systems
Complementary competencies integrated with inter-lab projects, e.g., Semantic Robots
(2014-2019), Funded by KKS
Applications studied in collaboration with companies, e.g.,

33. DISCUSSION

34. Funding Issues/Challenges
• There are no calls directly targeting AI.
• The calls that are related do not explicitly
mention AI.
• in the end they are given to researchers with
weak, if any, connection to AI research.

35. Suggestions
1. A call for applied AI research in collaboration between companies
and researchers. 1-2 year projects. Potential name: AI Enhanced
Products and Services.
2. A call for industrial PhD students working on AI problems in close
collaboration with industry. 4 year projects maybe with some co-
financing of the companies.
3. That AI researchers get invited to the panels for example for the
current calls for "Spjutspetsprojekt för att främja
nyindustrialiseringen av Sverige", "Datadrivna labb" och "Den
smarta digitala fabriken 2016-2018". It would also be desirable
that AI gets promoted in the calls. Now it is implicit.