Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Christof eTeuscher"'
Autor:
Peter eBanda, Christof eTeuscher
Publikováno v:
Frontiers in Robotics and AI, Vol 3 (2016)
Chemical Reaction Networks (CRNs) are a formalism to describe the macroscopic behavior of chemical systems. We introduce COEL, a web- and cloud-based CRN simulation framework that does not require a local installation, runs simulations on a large com
Externí odkaz:
https://doaj.org/article/06cf72649e4a4e97a319ddef85b0c815
Publikováno v:
Frontiers in Robotics and AI, Vol 3 (2016)
This paper discusses a novel approach to managing complexity in a large self-assembled system, by employing the self-assembling components themselves to address the complexity. Challenges are discussed, including the question of how to deal with elem
Externí odkaz:
https://doaj.org/article/33de213d4cbf4ecc8e4fd77ad423de77
Autor:
Xinjie eGuo, Farnood eMerrikh-Bayat, Ligang eGao, Fabien eAlibart, Brian eHoskins, Luke eTheogarajan, Christof eTeuscher, Bernabe eLinares-Barranco, Dmitri eStrukov
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog
Externí odkaz:
https://doaj.org/article/e7620ffc92e24f658a190c1e63148c08
Autor:
Christof eTeuscher
Publikováno v:
Frontiers in Robotics and AI, Vol 1 (2014)
What makes a new paradigm or technology promising? What should science, research, and industry invest money in? Is there a life after CMOS electronics? And will the vacuum tube be back? While one cannot predict the future, one can still learn from th
Externí odkaz:
https://doaj.org/article/65c59bba5862426d9d3ac846ef7a993a