Jim Tørresen

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

https://www.youtube.com/watch?v=CanAgv21_IcJim 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

  • 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
  • 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
  • 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 Show summary
  • 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.  ACM Digital Library.  ISBN 978-1-4503-5618-3.  1.  s 125 - 132 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 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
  • 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 . 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
  • Uddin, Md Zia; Tørresen, Jim & Jabid, Taskeed (2017). Human Activity Recognition using depth body part histograms and Hidden Markov Models, In Mohammad Kaykobad (ed.),  2016 International Conference on Innovations in Science, Engineering and Technology (ICISET).  IEEE conference proceedings.  ISBN 978-1-5090-6123-5.  Paper ID: 168.  s 151 - 154 Show summary
  • Miseikis, Justinas; Glette, Kyrre; Elle, Ole Jakob & Tørresen, Jim (2016). Automatic Calibration of a Robot Manipulator and Multi 3D Camera System, In Yasuhisa Hirata (ed.),  Proc. of 2016 IEEE/SICE International Symposium on System Integration.  IEEE conference proceedings.  ISBN 978-1-5090-3329-4.  Artikkel.  s 735 - 741
  • Miseikis, Justinas; Glette, Kyrre; Elle, Ole Jakob & Tørresen, Jim (2016). Multi 3D Camera Mapping for Predictive and Reflexive Robot Manipulator Trajectory Estimation, In Yaochu Jin & Stefanos Kollias (ed.),  Proc. of 2016 IEEE Symposium Series on Computational Intelligence (SSCI).  IEEE conference proceedings.  ISBN 978-1-5090-4240-1.  1.
  • Nygaard, Tønnes Frostad; Tørresen, Jim & Glette, Kyrre (2016). Multi-objective Evolution of Fast and Stable Gaits on a Physical Quadruped Robotic Platform, In Yaochu Jin & Stefanos Kollias (ed.),  Proc. of 2016 IEEE Symposium Series on Computational Intelligence (SSCI).  IEEE conference proceedings.  ISBN 978-1-5090-4240-1.  Artikkel.
  • Nymoen, Kristian; Chandra, Arjun & Tørresen, Jim (2016). Self-awareness in Active Music Systems, In Peter R. Lewis; Marco Platzner; Bernhard Rinner; Jim Tørresen & Xin Yao (ed.),  Self-aware Computing Systems.  Springer.  ISBN 978-3-319-39674-3.  Kapittel 14.  s 279 - 296
  • Olsen, Andreas Færøvig & Tørresen, Jim (2016). Smartphone Accelerometer Data used for Detecting Human Emotions, In Xiang Fei & Lipo Wang (ed.),  Proceedings of 2016 3rd International Conference on Systems and Informatics.  IEEE conference proceedings.  ISBN 978-1-5090-5520-3.  Artikkel.  s 410 - 415
  • Tørresen, Jim; Iversen, Andreas Høyer & Greisiger, Ralf (2016). Data from Past Patients used to Streamline Adjustment of Levels for Cochlear Implant for New Patients, In Yaochu Jin & Stefanos Kollias (ed.),  Proc. of 2016 IEEE Symposium Series on Computational Intelligence (SSCI).  IEEE conference proceedings.  ISBN 978-1-5090-4240-1.  Artikkel.
  • Lewis, Peter R.; Chandra, Arjun; Faniyi, Funmilade; Glette, Kyrre Harald; Chen, Tao; Bahsoon, Rami; Tørresen, Jim & Yao, Xin (2015). Architectural aspects of self-Aware and self-expressive computing systems: From psychology to engineering. Computer.  ISSN 0018-9162.  48(8), s 62- 70 . doi: 10.1109/MC.2015.235
  • Lewis, Peter R.; Esterle, Lukas; Chandra, Arjun; Rinner, Bernhard; Tørresen, Jim & Yao, Xin (2015). Static, dynamic, and adaptive heterogeneity in distributed smart camera networks. ACM Transactions on Autonomous and Adaptive Systems.  ISSN 1556-4665.  10(2) . doi: 10.1145/2764460
  • Nymoen, Kristian; Chandra, Arjun; Glette, Kyrre Harald & Tørresen, Jim (2015). Decentralized harmonic synchronization in mobile music systems, In Kurosh Madani; Neil Y. Yen & Yusuke Manabe (ed.),  Awareness Science and Technology (iCAST), 2014 IEEE 6th International Conference on.  IEEE.  ISBN 978-1-4799-7373-6.  Artikkel i proceedings.  s 51 - 56 Show summary
  • Beckhoff, Christian Ferdinand; Koch, Dirk & Tørresen, Jim (2014). Portable module relocation and bitstream compression for Xilinx FPGAs, In Andreas Herkersdorf (ed.),  Proceedings of 2014 24th International Conference on Field Programmable Logic and Applications (FPL).  IEEE conference proceedings.  ISBN 9781479933624.  Paper.  s 673 - 680
  • Beckhoff, Christian; Koch, Dirk & Tørresen, Jim (2014). Design Tools for Implementing Self-Aware and Fault-Tolerant Systems on FPGAs. ACM Transactions on Reconfigurable Technology and Systems.  ISSN 1936-7406.  7(2), s 14- 23 . doi: 10.1145/2617597
  • Dobai, Roland; Glette, Kyrre Harald; Tørresen, Jim & Sekanina, Lukas (2014). Evolutionary digital circuit design with fast candidate solution establishment in field programmable gate arrays, In Andy Tyrrell & Martin Trefzer (ed.),  2014 IEEE International Conference on Evolvable Systems.  IEEE Press.  ISBN 978-1-4799-4480-4.  Session 3.  s 85 - 92
  • Nymoen, Kristian; Chandra, Arjun; Glette, Kyrre Harald; Tørresen, Jim; Voldsund, Arve & Jensenius, Alexander Refsum (2014). PheroMusic: Navigating a Musical Space for Active Music Experiences, In Georgios Kouroupetroglou & Anastasia Georgaki (ed.),  Music Technology Meets Philosophy: From digital echos to virtual ethos Proceedings of the 40th International Computer Music Conference joint with the 11th Sound and Music Computing conference.  International Computer Music Association.  ISBN 978-0-9845274-3-4.  Kapittel.  s 1715 - 1718 Full text in Research Archive. Show summary
  • Nymoen, Kristian; Chandra, Arjun & Tørresen, Jim (2014). The Challenge of Decentralised Synchronisation in Interactive Music Systems, In Ingo Scholtes (ed.),  Self-Adaptation and Self-Organizing Systems Workshops (SASOW), 2013 IEEE 7th International Conference on.  IEEE.  ISBN 978-1-4799-5086-7.  Artikkel i proceedings.  s 95 - 100 Show summary
  • Nymoen, Kristian; Tørresen, Jim; Song, Sichao & Hafting, Yngve (2014). Funky Sole Music: Gait Recognition and Adaptive Mapping, In Baptiste Caramiaux; Koray Tahiroğlu; Rebecca Fiebrink & Atau Tanaka (ed.),  Proceedings of the International Conference on New Interfaces For Musical Expression.  Goldsmiths, University of London.  ISBN 978-1-906897-29-1.  Kapittel.  s 299 - 302 Full text in Research Archive. Show summary
  • Ripon, Kazi Shah Nawaz & Tørresen, Jim (2014). Integrated job shop scheduling and layout planning: a hybrid evolutionary method for optimizing multiple objectives. Evolving Systems.  ISSN 1868-6478.  5(2), s 121- 132 . doi: 10.1007/s12530-013-9092-7

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  • Lewis, Peter R.; Platzner, Marco; Rinner, Bernhard; Tørresen, Jim & Yao, Xin (ed.) (2016). Self-aware Computing Systems. Springer.  ISBN 978-3-319-39674-3.  324 s.
  • Tørresen, Jim; Aunet, Snorre; Lande, Tor Sverre; Grutle, Øyvind Kallevik & Nielsen, Ivan R. (ed.) (2015). Nordic Circuits and Systems Conference (NORCAS): NORCHIP & International Symposium on System-on-Chip (SoC), 2015. IEEE conference proceedings.  ISBN 978-1-4673-6576-5.  275 s.
  • Becker, Jurgen; Vaidyanathan, Ramachandran; Santambrogio, Marco Domenico; Tørresen, Jim; Sass, Ron & Leong, Philip (ed.) (2014). Proceeding of 2014 IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPSW). IEEE conference proceedings.  ISBN 978-1-4799-4117-9.  400 s.

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  • 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
  • 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
  • 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). 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; Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav & Martin, Charles Patrick (2018). Equipping Systems with Forecasting Capabilities.
  • 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
  • Aunet, Snorre & Tørresen, Jim (2016). Special issue: selected papers from the 1st NORCAS conference (2015 Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium on System-on-Chip (SoC)). Analog Integrated Circuits and Signal Processing.  ISSN 0925-1030.  89(2), s 271- 272 . doi: 10.1007/s10470-016-0847-5
  • Tørresen, Jim (2016). Artificial intelligence in autonomous systems.
  • Tørresen, Jim (2016, 23. september). Eldreomsorg med roboter.  Dagens Næringsliv – Teknologi-spalte.
  • Tørresen, Jim (2016). Maskiner som tenker. Psykologisk tidsskrift.  ISSN 1501-7508.  20(3), s 36- 40
  • Tørresen, Jim (2016). Smartphone Analysis of Human Behaviour for Interactive Music Systems.
  • Tørresen, Jim (2016). Teknologi som kan tilpasse seg gjennom læring.
  • Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav & Toft, Martin (2016, 25. november). UiO får åtte tildelingar for å samarbeida med oppinstitusjonar utanfor EU. [Internett].  http://www.uniforum.uio.no/nyheter/2016/11/uio-far-atte-tild. Show summary
  • Drury, Jim; Glette, Kyrre Harald; Samuelsen, Eivind & Tørresen, Jim (2015, 15. juni). 3D-printed robots adapt themselves to their surroundings. [TV].  Reuters.
  • Kjølleberg, Even; Kårstad, Gry; Reuterdahl, Anne-Cathrine; Elle, Ole Jakob; Tørresen, Jim & Mathiassen, Kim (2015, 07. juli). Robotlegene kommer!. [Internett].  NRK.
  • Nymoen, Kristian; Tørresen, Jim; Drury, Jim & Chen, Roselle (2015, 10. juli). Sole to soul - foot tapping to a new beat. [Internett].  Reuters video.
  • Tørresen, Jim (2015, 10. januar). Alan Turing opp til prøve. [Internett].  http://forskning.no/2015/01/alan-turing-opp-til-prove.
  • Tørresen, Jim; Plessl, Christian & Yao, Xin (2015). Self-aware and self-expressive systems. Computer.  ISSN 0018-9162.  48(7), s 18- 20 . doi: 10.1109/MC.2015.205
  • Haugnes, Gunhild M.; Jensenius, Alexander Refsum; Tørresen, Jim & Godøy, Rolf Inge (2014, 11. februar). Musikk + IT = kreativ boom. [Internett].  Institutt for informatikk. Show summary
  • Knutzen, Håkon; Glette, Kyrre Harald; Nymoen, Kristian; Chandra, Arjun & Tørresen, Jim (2014). PheroMusic. Show summary
  • Nymoen, Kristian; Chandra, Arjun; Glette, Kyrre Harald & Tørresen, Jim (2014). Decentralized harmonic synchronization in mobile music systems.
  • Nymoen, Kristian; Chandra, Arjun; Glette, Kyrre Harald; Tørresen, Jim; Voldsund, Arve & Jensenius, Alexander Refsum (2014). PheroMusic: Navigating a Musical Space for Active Music Experiences. Show summary
  • Nymoen, Kristian; Song, Sichao; Hafting, Yngve & Tørresen, Jim (2014). Funky Sole Music: Gait Recognition and Adaptive Mapping.
  • Tørresen, Jim (2014, 01. juli). Den nye intelligensen. [Fagblad].  ANNO.
  • Tørresen, Jim (2014, 12. desember). Hvor smart kan en robot bli?.  A-magasinet.
  • Tørresen, Jim (2014, 05. oktober). INNSIKT: KUNSTIG INTELLIGENS. [Fagblad].  Teknisk Ukeblad.
  • Tørresen, Jim (2014, 01. februar). Kan maskiner tenke?.  Aftenposten, Bergens tidende, Aftenbladet, og Fedrelandsvenn.
  • Tørresen, Jim (2014). Learning FPGA Design Through Internet and Remote Labs.

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Published Nov. 4, 2010 2:23 PM - Last modified June 28, 2018 8:46 AM