Jim Tørresen

Image of Jim Tørresen
Norwegian version of this page
Phone +47-22852454
Mobile phone 92846669
Room 4404
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Visiting address Gaustadalléen 23 B Ole-Johan Dahls hus 0373 OSLO
Postal address Postboks 1080 Blindern 0316 OSLO

Jim Torresen received his M.Sc. and Dr.ing. (Ph.D) degrees in computer architecture and design from the Norwegian University of Science and Technology, University of Trondheim in 1991 and 1996, respectively. He has been employed as a senior hardware designer at NERA Telecommunications (1996-1998) and at Navia Aviation (1998-1999). Since 1999, he has been a professor at the Department of Informatics at the University of Oslo (associate professor 1999-2005). Jim Torresen has been a visiting researcher at Kyoto University, Japan for one year (1993-1994), four months at Electrotechnical laboratory, Tsukuba, Japan (1997 and 2000) and a visiting professor at Cornell University, USA for one year (2010-2011).

His research interests at the moment include bio-inspired computing, machine learning, reconfigurable hardware, robotics and applying this to complex real-world applications. Several novel methods have been proposed. He has published approximately 150 scientific papers in international journals, books and conference proceedings. 10 tutorials and several invited talks have been given at international conferences. He is in the program committee of more than ten different international conferences, associate editor of three international scientific journals as well as a regular reviewer of a number of other international journals. He has also acted as an evaluator for proposals in EU FP7 and Horizon2020 and is currently project manager/principle investigator in four projects funded by the Research Council of Norway.

See more information on my other web page.

TEDx Oslo May 2017

Picture: Stine Moen, Studio Vest Fotografer

Tags: Robotics, Artificial Intelligence, Adaptable Systems, Reconfigurable hardware, Biology-inspired Computing, Evolutionary Computing, Evolvable Hardware

Publications

  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music Generation, In Isabel Barbancho; Lorenzo J. Tardón; Alberto Peinado & Ana M. Barbancho (ed.),  SMC 2019 Proceedings of the 16th Sound & Music Computing Conference.  Society for Sound and Music Computing.  ISBN 978-84-09-08518-7.  P2.1.  s 217 - 222
  • Schulz, Trenton Wade; Tørresen, Jim & Herstad, Jo (2019). Animation Techniques in Human-Robot Interaction User Studies: A Systematic Literature Review. ACM Transactions on Human-Robot Interaction.  ISSN 2573-9522.  8(2) . doi: 10.1145/3317325 Show summary
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schüttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2018). Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V. Nature Communications.  ISSN 2041-1723.  9(1) . doi: 10.1038/s41467-018-07797-4 Full text in Research Archive.
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim & Fasmer, Ole Bernt (2018). Motor activity based classification of depression in unipolar and bipolar patients. IEEE International Symposium on Computer-Based Medical Systems.  ISSN 2372-9198.  s 316- 321 . doi: 10.1109/CBMS.2018.00062
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael; Nordgreen, Tine; Jakobsen, Petter; Ødegaard, Ketil Joachim & Tørresen, Jim (2018). Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive and Mobile Computing.  ISSN 1574-1192.  51, s 1- 26 . doi: 10.1016/j.pmcj.2018.09.003
  • Garcia Ceja, Enrique Alejandro; Uddin, Md Zia & Tørresen, Jim (2018). Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. Procedia Computer Science.  ISSN 1877-0509.  130, s 157- 163 . doi: 10.1016/j.procs.2018.04.025
  • Garcia, Rafael; Telea, Alexandru C; Castro da Silva, Bruno; Tørresen, Jim & Dihl Comba, Joao Luiz (2018). A task-and-technique centered survey on visual analytics for deep learning model engineering. Computers & graphics.  ISSN 0097-8493.  77, s 30- 49 . doi: 10.1016/j.cag.2018.09.018
  • Garcia-Ceja, Enrique; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim & Fasmer, Ole Bernt (2018). Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients, In Pablo Cesar; Michael Zink & Niall Murray (ed.),  MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5192-8.  conference article.  s 472 - 477
  • Iwashita, Yumi; Stoica, Adrian; Nakashima, Kazuto; Kurazume, Ryo & Tørresen, Jim (2018). Virtual Sensors Determined Through Machine Learning, In Patrick Benavidez (ed.),  Proceedings of 2018 World Automation Congress.  IEEE conference proceedings.  ISBN 978-1-5323-7791-4.  Artikkel.  s 318 - 321
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition, In  2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).  IEEE.  ISBN 978-1-5386-7033-0.  1.  s 1 - 6 Full text in Research Archive.
  • Martin, Charles Patrick; Jensenius, Alexander Refsum & Tørresen, Jim (2018). Composing an ensemble standstill work for Myo and Bela, In Luke Dahl; Doug Bowman & Tom Martin (ed.),  Proceedings of the International Conference On New Interfaces For Musical Expression.  Virginia Tech.  KAPITTEL.  s 196 - 197 Full text in Research Archive. Show summary
  • Martin, Charles Patrick & Tørresen, Jim (2018). RoboJam: A musical mixture density network for collaborative touchscreen interaction. Lecture Notes in Computer Science.  ISSN 0302-9743.  10783 LNCS, s 161- 176 . doi: 10.1007/978-3-319-77583-8_11 Full text in Research Archive. Show summary
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images, In  2018 15th International Conference on Ubiquitous Robots (UR 2018).  IEEE.  ISBN 9781538663356.  1.  s 597 - 603 Full text in Research Archive.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network, In  2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR 2018).  IEEE.  ISBN 9781538655481.  1.  s 337 - 342 Full text in Research Archive.
  • Miseikis, Justinas; Knobelreiter, Patrick; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks, In  2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2018).  IEEE.  ISBN 9781538618554.  1.  s 181 - 187 Full text in Research Archive.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Samuelsen, Eivind; Tørresen, Jim & Glette, Kyrre (2018). Real-world evolution adapts robot morphology and control to hardware limitations, In hernan aguirre (ed.),  GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5618-3.  1.  s 125 - 132 Full text in Research Archive. Show summary
  • Schulz, Trenton Wade; Herstad, Jo & Tørresen, Jim (2018). Classifying Human and Robot Movement at Home and Implementing Robot Movement Using the Slow In, Slow Out Animation Principle. International Journal on Advances in Intelligent Systems.  ISSN 1942-2679.  11(3&4), s 234- 244 Show summary
  • Schulz, Trenton Wade; Herstad, Jo & Tørresen, Jim (2018). Moving with Style: Classifying Human and Robot Movement at Home, In Birgit Gersbeck-Schierholz; Christian Wögerer & Steffen Gerhard Schulz (ed.),  ACHI 2018, The Eleventh International Conference on Advances in Computer-Human Interactions.  International Academy, Research and Industry Association (IARIA).  ISBN 978-1-61208-616-3.  30.  s 188 - 193 Full text in Research Archive. Show summary
  • Tørresen, Jim (2018). A Review of Future and Ethical Perspectives of Robotics and AI. Frontiers in Robotics and AI.  ISSN 2296-9144.  4 . doi: https://doi.org/10.3389/frobt.2017.00075 Full text in Research Archive.
  • Tørresen, Jim & Barone, Dante (2018). Improving Internationalization of Higher Education in Informatics : A Brazilian – Norwegian Experience, In Karl Gudmundsson (ed.),  Proceedings of the EAEEIE (European Association for Education in Electrical and Information Engineering).  IEEE conference proceedings.  ISBN 978-1-5386-7711-7.  Artikkel.
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2018). Activity Recognition Using Deep Recurrent Neural Network on Translation and Scale-Invariant Features, In  2018 25th IEEE International Conference on Image Processing (ICIP).  IEEE.  ISBN 978-1-4799-7061-2.  Paper ID: 2293.  s 475 - 479 Show summary
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2018). Ambient Sensors for Elderly Care and Independent Living: A Survey. Sensors.  ISSN 1424-8220.  18(7) . doi: 10.3390/s18072027 Show summary
  • Aamodt, Torkil & Tørresen, Jim (2017). Comparing Neural Networks for Predicting Stock Markets, In Giacomo Boracchi; Lazaros Iliadis; Chrisina Jayne & Aristidis Likas (ed.),  Proceedings of 18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017.  Springer.  ISBN 978-3-319-651712.  Artikkel.  s 363 - 375
  • Danielsen, Asbjørn & Tørresen, Jim (2017). Recognizing Bedside Events Using Thermal and Ultrasonic Readings. Sensors.  ISSN 1424-8220.  17(6) . doi: 10.3390/s17061342 Full text in Research Archive. Show summary
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models, In Carole Knibbe; Guillaume Beslon; David Parsons; Dusan Misevic; Jonathan Rouzaud-Cornabas; Nicolas Bredèche; Salima Hassas; Olivier Simonin & Hedi Soula (ed.),  Proceedings of the European Conference on Artificial Life 2017.  MIT Press.  ISBN 978-0-262-34633-7.  Artikkel.  s 138 - 145
  • Garnica, Oscar; Glette, Kyrre & Tørresen, Jim (2017). Comparing three online evolvable hardware implementations of a classification system. Genetic Programming and Evolvable Machines.  ISSN 1389-2576.  s 1- 24 . doi: 10.1007/s10710-017-9312-1
  • Khaksar, Weria; Hong, Tang Sai; Sahari, Khairul Salleh Mohamed; Khaksar, Mansoor & Tørresen, Jim (2017). Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system. Neural computing & applications (Print).  ISSN 0941-0643.  Published ahead of print, s 1- 15 . doi: 10.1007/s00521-017-3069-6
  • Martin, Charles Patrick; Ellefsen, Kai Olav & Tørresen, Jim (2017). Deep Models for Ensemble Touch-Screen Improvisation, In George Fazekas; Mathieu Barthet & Tony Stockman (ed.),  Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5373-1.  Conference paper. Full text in Research Archive. Show summary
  • Martin, Charles Patrick & Tørresen, Jim (2017). Exploring Social Mobile Music with Tiny Touch-Screen Performances, In Tapio Lokki; Jukka Pätynen & Vesa Välimäki (ed.),  Proceedings of the 14th Sound and Music Computing Conference 2017.  Aalto University.  ISBN 978-952-60-3729-5.  Conference Paper.  s 175 - 180 Full text in Research Archive. Show summary
  • Martin, Charles Patrick & Tørresen, Jim (2017). MicroJam: An App for Sharing Tiny Touch-Screen Performances, In Cumhur Erkut (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Aalborg University Copenhagen.  Chapter.  s 495 - 496 Full text in Research Archive. Show summary
  • Uddin, Md Zia; Hassan, Mohammed Mehedi; Almogren, Ahmad; Zuair, Mansour; Fortino, Giancarlo & Tørresen, Jim (2017). A facial expression recognition system using robust face features from depth videos and deep learning. Computers & electrical engineering.  ISSN 0045-7906.  63, s 114- 125 . doi: 10.1016/j.compeleceng.2017.04.019 Show summary
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2017). A robust gait recognition system using spatiotemporal features and deep learning, In Uwe D. Hanebeck (ed.),  2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).  IEEE conference proceedings.  ISBN 978-1-5090-6064-1.  Paper No.: T2C-4.  s 156 - 161 Show summary
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2017). Facial Expression Recognition Using Salient Features and Convolutional Neural Network. IEEE Access.  ISSN 2169-3536.  5, s 26146- 26161 . doi: 10.1109/ACCESS.2017.2777003 Show summary
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2017). Human activity recognition using robust spatiotemporal features and convolutional neural network, In Uwe D. Hanebeck (ed.),  2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).  IEEE conference proceedings.  ISBN 978-1-5090-6064-1.  Paper No.: T2C-2.  s 144 - 149 Show summary

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  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. IEEE.  ISBN 978-1-5386-7098-9.  7 s.
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE.  ISBN 978-1-5386-7033-0.  700 s.

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  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2019). Publisher Correction: Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V (Nature Communications, (2018), 9, 1, (5381), 10.1038/s41467-018-07797-4). Nature Communications.  ISSN 2041-1723.  10(1) . doi: 10.1038/s41467-019-10070-x
  • Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud; Nordgreen, Tine; McInnis, Melvin; Tørresen, Jim & Ødegaard, Ketil Joachim (2019). Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor.
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor. (Eng. Artificial Intelligence – who, what and where).
  • Tørresen, Jim (2019). Making Robots Adaptive and Preferable to Humans.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2018). Sensor Sequential Data Prediction. Show summary
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Deep Neural Networks.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Deep Reinforcement Learning.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). How to Write a Scientific Paper.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). How to Write a Scientific Paper.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Machine Learning and Reinforcement Learning in Brazil.
  • Ellefsen, Kai Olav & Tørresen, Jim (2018). Evolutionary Robotics: Automatic design of robot controllers and bodies.
  • Fjeld, Matias Hermanrud & Tørresen, Jim (2018). 3D Spatial Navigation in Octrees with Reinforcement Learning.
  • Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick & Tørresen, Jim (2018). Prediction, Interaction, and User Behaviour. Show summary
  • Haugnes, Gunhild Merete; Tørresen, Jim; Thorstensen, Magnus; Lunsæter, Sivert Frang; Carlsen, Per Antoine; Wong, Key; Hosseinpoor, Sadegh; Camelo, Guilherme & Garcia, Rafael (2018, 19. juni). Internasjonalt samarbeid gir robotikk-løft. [Internett].  Titan.uio.no.
  • Irgens, Morten; Lysne, Olav; Granmo, Ole-Christoffer & Tørresen, Jim (2018). Kunstig intelligens er en stor mulighet for Norge. Khrono.no.  ISSN 1894-8995.
  • Khaksar, Weria; Uddin, Md Zia; Schulz, Trenton Wade & Tørresen, Jim (2018). Introducing a Robotic Multimodal Elderly Care system (MECS).
  • Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes Frostad & Tørresen, Jim (2018). Self-Awareness in a Cyber-Physical Predictive Musical Interface. Show summary
  • Martin, Charles Patrick; Glette, Kyrre & Tørresen, Jim (2018). Creative Prediction with Neural Networks. Show summary
  • Martin, Charles Patrick; Jensenius, Alexander Refsum & Tørresen, Jim (2018). Composing an ensemble standstill work for Myo and Bela. Show summary
  • Martin, Charles Patrick & Tørresen, Jim (2018). Predictive Musical Interaction with MDRNNs.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2018). Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. Show summary
  • Tørresen, Jim (2018). Artificial Intelligence – State-of-the-art.
  • Tørresen, Jim (2018). Artificial Intelligence Applied for Real-World Systems.
  • Tørresen, Jim (2018). Developing Robot Companions for Elderly.
  • Tørresen, Jim (2018). Ethical Robots and Autonomous Systems.
  • Tørresen, Jim (2018). Intelligent Systems for Medical and Healthcare Applications.
  • Tørresen, Jim (2018). Kunstig Intelligens – Lærende og tilpasningsdyktig teknologi.
  • Tørresen, Jim (2018). Når etikk betyr alt. Dagens næringsliv.  ISSN 0803-9372.
  • Tørresen, Jim (2018). Remote Lab and Applications for High Performance and Embedded Architectures.
  • Tørresen, Jim (2018). Roboter kommer nærmere – skal vi glede eller grue oss?.
  • Tørresen, Jim (2018). UiO Visit to UFRJ – An overview of research.
  • Tørresen, Jim; Garcia Ceja, Enrique Alejandro & Barone, Dante (2018). Special session on Computational Intelligence for Sensing and Predicting Human Mental and Medical State.
  • Tørresen, Jim; Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav & Martin, Charles Patrick (2018). Equipping Systems with Forecasting Capabilities.
  • Tørresen, Jim & Garcia, Enrique (2018). Introducing Mental Health through Adaptive Technology via Sensor Data and Machine Learning: The INTROMAT project..
  • Tørresen, Jim & Laeng, Bruno (2018). UiO/ROBIN – Toyohashi University of Technology/Japan seminar. Show summary
  • Tørresen, Jim; Prestes, Edson; Kurazume, Ryo & Khaksar, Weria (2018). Workshop on Elderly Care Workshop on Elderly Care – Technology and Technology (WELCARO).
  • Tørresen, Jim; Schulz, Trenton Wade; Khaksar, Weria; Uddin, Md Zia & Søyseth, Vegard Dønnem (2018). Presentasjon av MECS prosjektet på Kampen Omsorg.
  • Tørresen, Jim; Schulz, Trenton Wade; Uddin, Md Zia; Khaksar, Weria & Prestes, Edson (2018). Robot Companions for Older People – Ethical Concerns.
  • Tørresen, Jim; Teigen, Bjørn Ivar & Ellefsen, Kai Olav (2018). An Active Learning Perspective on Exploration in Reinforcement Learning.
  • Uddin, Md Zia & Tørresen, Jim (2018). A Deep Learning-Based Human Activity Recognition in Darkness. Show summary
  • Vissgren, Julie & Tørresen, Jim (2018). Kunstig Intelligens. Innovasjonsmagasinet.  ISSN 1894-9835.  s 70- 71
  • Barone, Dante & Tørresen, Jim (2017). Opportunities in Brazil: Funded Master Projects and Summer Internships within Robotics and Artificial Intelligence.
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models.
  • Lim, Kang Up & Tørresen, Jim (2017). Developing Android Application.
  • Qi, Lexu & Tørresen, Jim (2017). Using Skeleton Information for Human Identification for Elderly Care and Alarm System with the XBox One Kinect Sensor.
  • Roshandel, Tannaz Navaie & Tørresen, Jim (2017). System Control for Safe Autonomous Navigation of Robot Systems for Elderly Care.
  • Saplacan, Diana; Schulz, Trenton Wade; Søyseth, Vegard Dønnem; Søyland, Magnus & Tørresen, Jim (2017). MECS presentasjon.
  • Stoica, Adrian & Tørresen, Jim (2017). Trends in Applications of Companion Technology to Space Exploration.
  • Tørresen, Jim (2017). Artificial Intelligence – What is it and what can it be applied to?.
  • Tørresen, Jim (2017). Artificial Intelligence and Examples of Real-world Applications.
  • Tørresen, Jim (2017). Artificial Intelligence by Nature Inspired Computing.
  • Tørresen, Jim (2017). Brazilian Student Exchange Opportunities to University of Oslo.
  • Tørresen, Jim (2017). Ethical Concerns in Artificial Intelligence and Robotics Deployments.
  • Tørresen, Jim (2017, 12. februar). I 2050 har vi et lag av humanoider som kan slå vinnerne av fotball-VM. [Internett].  Teknisk Ukeblad nettmagasin.
  • Tørresen, Jim (2017). Intelligent Machines – Opportunities and Challenges.
  • Tørresen, Jim (2017). Making Systems Intelligent by Biologically Inspired Computing.
  • Tørresen, Jim (2017). Making Technology Adaptive by Biologically Inspired Computing.
  • Tørresen, Jim (2017). Opportunities and Challenges with Artificial Intelligence.
  • Tørresen, Jim (2017). Robotics activity at Robotics and Intelligent Systems Group University of Oslo.
  • Tørresen, Jim (2017). Sensing and Reasoning Technology Applied within Mental Health Treatment and Elderly Care Robot Companions.
  • Tørresen, Jim (2017). Unleashing Artificial Intelligence in the Real World.
  • Tørresen, Jim & Aunet, Snorre (2017). Special issue: Selected papers from the 1st NORCAS conference (2015 Nordic Circuits and Systems Conference (NORCAS): Norchip & International Symposium on System-on-Chip (SoC)). Microprocessors and microsystems.  ISSN 0141-9331.  48, s 1- 2 . doi: 10.1016/j.micpro.2016.11.008

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Published Nov. 4, 2010 2:23 PM - Last modified Oct. 10, 2018 10:50 AM