Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Kyrre Glette"'
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
While evolutionary robotics can create novel morphologies and controllers that are well-adapted to their environments, learning is still the most efficient way to adapt to changes that occur on shorter time scales. Learning proposals for evolving rob
Externí odkaz:
https://doaj.org/article/0b473cdc01394eca89fbe9490058ff87
Autor:
Julian Fuhrer, Kyrre Glette, Anaïs Llorens, Tor Endestad, Anne-Kristin Solbakk, Alejandro Omar Blenkmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
Information theory is a viable candidate to advance our understanding of how the brain processes information generated in the internal or external environment. With its universal applicability, information theory enables the analysis of complex data
Externí odkaz:
https://doaj.org/article/22c7476eccae4cc198c35b9e7b2f4aba
Autor:
Arash Ahmadi, Katharina Till, Paul Hoff Backe, Pernille Blicher, Robin Diekmann, Mark Schüttpelz, Kyrre Glette, Jim Tørresen, Magnar Bjørås, Alexander D. Rowe, Bjørn Dalhus
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-8 (2021)
Ahmadi et al. use a single-molecule tracking method to describe the DNA scanning mode of AlkD, a HEAT-like repeat DNA glycosylase. They show that, contrary to other glycosylases that use a base-flipping mechanism, AlkD scans the DNA without forming a
Externí odkaz:
https://doaj.org/article/dc979ac48443432c9defb5314d98f0c6
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/79d80fdd609a427cb43fb59e2bb8373b
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Interactive art requires people to engage with it, and some works of interactive art are more intrinsically engaging than others. This article asks what properties of a work of interactive art promote engagement. More specifically, it examines four p
Externí odkaz:
https://doaj.org/article/bce5058154f043a1abf986beabcd4d11
Autor:
Ulysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, Francois Laviolette, Benoit Gosselin
Publikováno v:
IEEE Access, Vol 8, Pp 177941-177955 (2020)
Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system's performance over multiple days is challenging, due to the transient nature of the si
Externí odkaz:
https://doaj.org/article/20ea22e42824448c8b160dd934de076b
Autor:
Arash Ahmadi, Ida Rosnes, Pernille Blicher, Robin Diekmann, Mark Schüttpelz, Kyrre Glette, Jim Tørresen, Magnar Bjørås, Bjørn Dalhus, Alexander D. Rowe
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
How DNA repair proteins locate their target sites on DNA is still a matter of debate. Here the authors characterize by single-molecule fluorescence imaging the modes of scanning adopted by bacterial endonuclease V as it moves along linear DNA tracks.
Externí odkaz:
https://doaj.org/article/731b5efe4af24923bd07d7a709bb4c09
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
In modular robotics modules can be reconfigured to change the morphology of the robot, making it able to adapt to specific tasks. However, optimizing both the body and control of such robots is a difficult challenge due to the intricate relationship
Externí odkaz:
https://doaj.org/article/6201812a3a604baba9877e46021c097e
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Multi-function swarms are swarms that solve multiple tasks at once. For example, a quadcopter swarm could be tasked with exploring an area of interest while simultaneously functioning as ad-hoc relays. With this type of multi-function comes the chall
Externí odkaz:
https://doaj.org/article/1c1a8bca7d6847f3b4c3f926e5434817
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Machine-learning models of music often exist outside the worlds of musical performance practice and abstracted from the physical gestures of musicians. In this work, we consider how a recurrent neural network (RNN) model of simple music gestures may
Externí odkaz:
https://doaj.org/article/5f69ff51e94849369e032d59eb124f1a