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, AI, Rekonfigurerbar maskinvare, Biologi-inspirert beregning, Evolusjonær beregning, Evolverbar maskinvare

Publikasjoner

  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults. IEEE Access.  ISSN 2169-3536.  7(1), s 111012-- 111029 . doi: 10.1109/ACCESS.2019.2933994
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives. Evolutionary Computation.  ISSN 1063-6560.  Early Access . doi: 10.1162/evco_a_00250 Vis sammendrag
  • Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim & Martin, Charles Patrick (2019). Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.
  • 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
  • Martin, Charles Patrick & Tørresen, Jim (2019). An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.  s 260 - 265
  • 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 Vis sammendrag
  • 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 Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv.
  • 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
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 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 Fulltekst i vitenarkiv. 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 Fulltekst i vitenarkiv.
  • 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

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  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. Springer.  ISBN 978-3-030-30489-8.  12 s.
  • 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
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks.
  • 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.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods..
  • 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. Vis sammendrag
  • 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.
  • 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. 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
  • 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. Vis sammendrag
  • 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. 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.

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Publisert 4. nov. 2010 14:23 - Sist endret 8. feb. 2019 21:39