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Posthuman Reconstruction of the World as a Simulation in Charles Stross' Accelerando

Indrajit Patra, Shri Krishan Rai
2016 International Journal of Applied Linguistics and English Literature  
and symbols which in a posthuman world will crumble together to give way to a Posthuman world replete with endless possibilities.  ...  of which we can derive a semblance of power indistinguishable from the actual one.Keywords: Science Fiction, Posthumanism, Simulacra and Simulation, Quantum Nature of Creation, Portrayal of Future  ...  The question whether our universe is a simulation can also be analyzed from a different perspective like treating the entire world which we consider to be real as essentially a virtual one which proceeds  ... 
doi:10.7575/aiac.ijalel.v.6n.1p.136 fatcat:z6elw34yr5fc5pfgjhw2cvyb4a

Effectively Managing Data on a Grid [chapter]

Catherine Ruby, Russ Miller
2007 Handbook of Parallel Computing  
Average test accuracies for the neural networks, taken in the 24 virtual hours after the neural network is consulted during the simulation, yield average test accuracies ranging from 80% to 98%, consistent  ...  which provided seamless resource integration through an object oriented approach.  ... 
doi:10.1201/9781420011296.ch46 fatcat:k3ksums5mjeijkhk2jb3aqkzya

Trends and Challenges in Neuroengineering: Toward "Intelligent" Neuroprostheses through Brain-"Brain Inspired Systems" Communication

Stefano Vassanelli, Mufti Mahmud
2016 Frontiers in Neuroscience  
We argue that achieving a "high-level" communication and functional synergy between natural and artificial neuronal networks in vivo, will allow the development of a heterogeneous world of neurobiohybrids  ...  We address the topic also from a "community building" perspective, showing through a quantitative bibliographic analysis, how scientists working on the engineering of brain-inspired devices and brain-machine  ...  ACKNOWLEDGMENTS The authors are particularly thankful to the following scientists for their help and fruitful discussion: Guenther Zeck, Christian Meier, Michele Giugliano, Marco Fanciulli, Themis Prodromakis  ... 
doi:10.3389/fnins.2016.00438 pmid:27721741 pmcid:PMC5034009 fatcat:sgrfw6sx2zgwbjl7safi33wzza

Cyber-Workstation for Computational Neuroscience

Jack DiGiovanna
2009 Frontiers in Neuroengineering  
An alternative to this approach is to directly investigate behavioral complexity by modeling the relationship between behavior and brain subsystems (e.g. single neurons, neural ensembles) in vivo.  ...  Recently, increased computation power has been harnessed via a multi-core graphics processing unit for parallel A Cyber-Workstation (CW) to study in vivo, real-time interactions between computational models  ...  Neural signals (32 channels) were sampled through a DSP device (online) or from offl ine data stores (simulated).  ... 
doi:10.3389/neuro.16.017.2009 pmid:20126436 pmcid:PMC2814557 fatcat:a64rgzifefem3bwk7pihhefv64

Hyper-Image Network? An Investigation Into The Role Of Text And Image In The Design Of Hypertext Networks With Specific Consideration Of The World Wide Web

Vogelsang, Axel (Autor/in)
2007 Zenodo  
This work also explains how proponents of a pictorial approach towards digital communication have been misled by early day phenomena and wishful thinking.This thesis draws from cognitive science, cultural  ...  indicators for a paradigm shift towards a dominancy of the image for the purpose of information exchange.  ...  Bob, on the other hand, was a simulation of the real world rather than a fusion of the best of both worlds: real-world concepts combined with computer magic.  ... 
doi:10.5281/zenodo.44490 fatcat:osyyga7shrecneu2qfd2exdgly

Survey on Modelling and Techniques for Friction Estimation in Automotive Brakes

Vincenzo Ricciardi, Klaus Augsburg, Sebastian Gramstat, Viktor Schreiber, Valentin Ivanov
2017 Applied Sciences  
Finally, based on evidence of the limitations of the model-based approach and the potentialities of the neural networks, the authors propose a new state observer for BLCF estimation as a promising solution  ...  It therefore seems clear that when creating a model capable of predicting the real BLCF by taking into account the abovementioned phenomena, is important to monitor the brake operation and optimize its  ...  Acknowledgments: This work has been carried out within the iTEAM (Interdisciplinary Training Network on Multi-Actuated Ground Vehicles), which receives funding from the European Community Horizon 2020  ... 
doi:10.3390/app7090873 fatcat:q2nmxeqm3jeonebq6nw55riubq

Adaptive Resource Management Platform for Reconfigurable Networks

George Dimitrakopoulos, Klaus Moessner, Clemens Kloeck, David Grandblaise, Sophie Gault, Oriol Sallent, Kostas Tsagkaris, Panagiotis Demestichas
2006 Journal on spesial topics in mobile networks and applications  
This article provides a scheme to optimize resource management in future systems, by describing a platform that accommodates engineering mechanisms that deal with dynamic, demand driven planning and managing  ...  Aligned with this, the wireless world is rapidly moving towards the next generation of systems, featuring cooperating and reconfiguring capabilities for coexisting (and upcoming) Radio Access Technologies  ...  The authors would like to acknowledge the contributions of their colleagues from E 2 R and E 2 R II consortia.  ... 
doi:10.1007/s11036-006-0050-5 fatcat:bro5swvpsfak3fudmhyqvwbfby

Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles

A. Lenz, S.R. Anderson, A.G. Pipe, C. Melhuish, P. Dean, J. Porrill
2009 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
The training signal was also kept the same to facilitate a direct comparison between simulation and real-world systems.  ...  Both the simulation and real-world system learn with an exponential curve of a similar decay rate.  ... 
doi:10.1109/tsmcb.2009.2018138 pmid:19369158 fatcat:dumudh7injcevjbabkio4pldtu

Towards Realizing Intelligent Coordinated Controllers for Multi-USV Systems Using Abstract Training Environments

Sulemana Nantogma, Keyu Pan, Weilong Song, Renwei Luo, Yang Xu
2021 Journal of Marine Science and Engineering  
To realize this, we first present a digital maritime environment of multiple unmanned surface vehicles that abstracts the real-world dynamics in our application domain.  ...  However, the complexity of the physical environment, unrealistic assumptions, and lack of abstract physical environments derail the process of transition from simulation to real systems.  ...  A field test will be carried out to ascertain the performance of these controllers in the real world.  ... 
doi:10.3390/jmse9060560 fatcat:3f57l7ko45ddbfkvkh62b6rmzq

High-Fidelity State-of-Charge Estimation of Li-Ion Batteries Using Machine Learning [article]

Weizhong Wang, Nicholas W. Brady, Chenyao Liao, Youssef A. Fahmy, Ephrem Chemali, Alan C. West, Matthias Preindl
2019 arXiv   pre-print
A multi-layer feedforward neural networks is trained to acquire the nonlinear relationship between the pulse train and the ground-truth SoC.  ...  This paper proposes a way to augment the existing machine learning algorithm applied to state-of-charge estimation by introducing a form of pulse injection to the running battery cells.  ...  advancements in computation and an abundance of real world data, machine learning or specifically neural network-based methods are providing researchers with the ability to achieve significant advancements  ... 
arXiv:1909.02448v1 fatcat:pdhkdowxtzd4jm54ssgohkzysm

Exploring the Vision Processing Unit as Co-Processor for Inference

Sergio Rivas-Gomez, Antonio J. Pena, David Moloney, Erwin Laure, Stefano Markidis
2018 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)  
We evaluate this chip during inference using a pre-trained GoogLeNet convolutional network model and a large image dataset from the ImageNet ILSVRC challenge.  ...  In this work, we consider the integration of co-processors in high-performance computing (HPC) to enable low-power, seamless computation offloading of certain operations.  ...  This approach differs from the traditional Caffe batched execution, which resizes the input blob layer of the convolutional network to achieve better data communication throughput (e.g., on GPUs).  ... 
doi:10.1109/ipdpsw.2018.00098 dblp:conf/ipps/Rivas-GomezPMLM18 fatcat:o7iusdh4bfbppakyyvrupek76u

Exploring the Vision Processing Unit as Co-processor for Inference [article]

Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis
2018 arXiv   pre-print
We evaluate this chip during inference using a pre-trained GoogLeNet convolutional network model and a large image dataset from the ImageNet ILSVRC challenge.  ...  In this work, we consider the integration of co-processors in high-performance computing (HPC) to enable low-power, seamless computation offloading of certain operations.  ...  This approach differs from the traditional Caffe batched execution, which resizes the input blob layer of the convolutional network to achieve better data communication throughput (e.g., on GPUs).  ... 
arXiv:1810.04150v1 fatcat:z5mm4kpv6fag7iutgtctyol5z4

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
Investigations of this question have, to date, focused largely on deep neural networks trained using supervised learning, in tasks such as image classification.  ...  It suggests a massive loss of non-selected information from V1 downstream along the visual pathway.  ...  Institute (Challenge grants to SJ), the Research Corporation for Science Advancement (a Cottrell SEED Award to TV), and the German Research Foundation (DFG grant #ME 1535/7-1 to RM), and the Foundation  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

Abstracts from the XIth World DOHaD Congress

2019 Journal of Developmental Origins of Health and Disease  
Data were collected from 2005 to 2014, using professional assessment and caregiver-reported questionnaires.  ...  After explaining the objective and the process of this project to all participants, we obtained consent from them to participate in this investigation voluntarily.  ...  This premature brain aging may be reflected in a rearrangement of resting-state (RS) functional brain networks, which can be a predictor for the future development of Alzheimer's disease.  ... 
doi:10.1017/s2040174419000643 fatcat:sgbbtoqodrhipjzyc33ujpt5gq

Envisioning engineering education and practice in the coming intelligence convergence era — a complex adaptive systems approach

Ahmed Noor
2013 Open Engineering  
Devices and machines will be able to learn from, and with, humans in a natural collaborative way.  ...  As a first step towards the realization of the vision, intelligent adaptive cyber-physical ecosystems need to be developed to facilitate collaboration between the various stakeholders of engineering education  ...  A report published by the US National Academy of Engineering in 2012 [11] describes attempts by 29 engineering programs at colleges and universities across the nation to infuse real world experiences  ... 
doi:10.2478/s13531-013-0122-9 fatcat:x625o2mucnh6fnunqu46yx3yf4
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