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Svenska AI-sällskapet på Vinnova

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

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Svenska AI-sällskapet på Vinnova

  1. 1. AI Research in Sweden – Challenges and Opportunities 23 Augusti 2016 Vinnova, Stockholm
  2. 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. 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. 4. Major Trends • Autonomous systems and Robotics • Machine learning • Data driven decision making • Semantic technologies • Cognitive computing / Q&A-systems
  5. 5. Autonomous Cars
  6. 6. Autonomous Cars
  7. 7. Humanoid Robots
  8. 8. Deep Learning + Reinforcement Learning + Search
  9. 9. Cognitive Companions/Q&A Systems
  10. 10. Work in the Age of Automation?
  11. 11. AI RESEARCH IN SWEDEN
  12. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 22. VDM, Vehicle Driver Monitoring (VINNOVA) CDSS/ TWO SELL Personalization and recommendation systems in health care/retail AI gruppen Peter Funk Mälardalen University
  23. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 33. DISCUSSION
  34. 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. 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.

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