Jim Tørresen

Bilde av Jim Tørresen
English version of this page
Telefon +47-22852454
Mobiltelefon 92846669 +47 92846669
Rom 4404
Brukernavn
Besøksadresse Gaustadalléen 23 B Ole-Johan Dahls hus 0373 OSLO
Postadresse Postboks 1080 Blindern 0316 OSLO

Profilbilde: Stine Moen, Studio Vest Fotografer

Bakgrunn

  • Professor i informatikk, Universitetet i Oslo, siden 2006
  • Førsteamuensis i informatikk, Universitetet i Oslo, 1999-2005
  • Maskinvareutvikling Navia Aviation, 1998-1999
  • Maskinvareutvikling NERA Telecommunications, 1996-1998
  • Dr.ing. (Ph.D.) datamaskinarkitektur, Norges teknisk-naturvitenskapelige universitet, 1996
  • Siv.ing. (M.Sc.) datamaskinarkitektur, Norges teknisk-naturvitenskapelige universitet, 1991

 

Se mer info på min andre hjemmeside.

Faglige interesser

  • Biologi-inspirerte algoritmer og kunstig intelligens
  • Programmerbar logikk (FPGA)
  • Robotikk (simulering prototyping, styring)

Populærvitenskapelig bok om kunstig intelligens

Jim Tørresen ved ROBIN har skrevet en populær-

vitenskapelig bok om kunstig intelligens som er utgitt

i "hva er"-serien til Universitetsforlaget. Hva mener vi

med kunstig intelligens og hvilke metoder er mest

utbredt og anvendelige er noe av det som omtales i

boken. Fremtidsvyer og etiske sider ved kunstig

intelligens er også beskrevet. Mer info om boken

(og mulighet for å lese forord og første kapittel) finnes her.

 

TEDx Oslo May 2017

 

 

 

 

 

 

 

 

Oversikt over siste års mediabidrag

Liste over populærvitenskapelige oppslag 

 

 

 

Emneord: Robotikk, Kunstig intelligens, Adaptive systemer, Rekonfigurerbar maskinvare, Biologi-inspirert beregning, Evolusjonær beregning, Evolverbar maskinvare

Publikasjoner

  • 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
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 Vis sammendrag
  • 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
  • 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 Vis sammendrag
  • 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 Vis sammendrag
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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. Fulltekst i vitenarkiv. Vis sammendrag
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 Vis sammendrag
  • 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 Vis sammendrag
  • 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 Vis sammendrag
  • 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 Vis sammendrag
  • 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 Vis sammendrag
  • 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 Vis sammendrag

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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.

Se alle arbeider i Cristin

  • 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. Vis sammendrag
  • 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.
  • 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. Vis sammendrag
  • Martin, Charles Patrick; Glette, Kyrre & Tørresen, Jim (2018). Creative Prediction with Neural Networks. Vis sammendrag
  • Martin, Charles Patrick; Jensenius, Alexander Refsum & Tørresen, Jim (2018). Composing an ensemble standstill work for Myo and Bela. Vis sammendrag
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2018). Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. Vis sammendrag
  • Tørresen, Jim (2018). Artificial Intelligence – State-of-the-art.
  • 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; 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. Vis sammendrag
  • 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. Vis sammendrag
  • 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. Vis sammendrag
  • 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.

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Publisert 4. nov. 2010 14:23 - Sist endret 28. juni 2018 08:39