Results 1 to 10 of about 22,244,952 (417)
Computational Processes and Incompleteness [PDF]
Electronic Proceedings in Theoretical Computer Science, 2009 We introduce a formal definition of Wolfram's notion of computational process based on cellular automata, a physics-like model of computation. There is a natural classification of these processes into decidable, intermediate and complete. It is shown that in the context of standard finite injury priority arguments one cannot establish the existence of ...
openaire +6 more sources
Soft computing applications in dynamic model identification of polymer extrusion process [PDF]
, 2004 This paper proposes the application of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process.
Ahmad Lotfi +9 more
core +2 more sources
Process-Oriented Parallel Programming with an Application to Data-Intensive Computing [PDF]
arXiv, 2014 We introduce process-oriented programming as a natural extension of object-oriented programming for parallel computing. It is based on the observation that every class of an object-oriented language can be instantiated as a process, accessible via a ...
Givelberg, Edward
core +1 more source
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2022 To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning.
Wei Xu +5 more
semanticscholar +1 more source
Brain-inspired computing needs a master plan [PDF]
Nature, 2021 New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever ...
A. Mehonic, A. Kenyon
semanticscholar +1 more source
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
Proceedings of the IEEE, 2021 Deep artificial neural networks apply principles of the brain’s information processing that led to breakthroughs in machine learning spanning many problem domains. Neuromorphic computing aims to take this a step further to chips more directly inspired by
Mike Davies +7 more
semanticscholar +1 more source
Algorithmic design of origami mechanisms and tessellations
Communications Materials, 2022 Origami is a promising source of inspiration in designing foldable structures and reconfigurable metamaterials. Here, building on exact folding kinematic conditions, an algorithmic design of rigidly-foldable origami structures is presented, allowing the ...
Andreas Walker, Tino Stankovic
doaj +1 more source
Industrial evaluation of design heuristics for additive manufacturing
Design Science, 2022 Additive manufacturing (AM) has gained prominence over the last 15 years and become a viable manufacturing option. Since there is great industrial interest to implement serial production of products using AM, the education of engineers in design for ...
Alexandra Blösch-Paidosh, Kristina Shea
doaj +1 more source
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Nature Communications, 2021 Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation.
Yanan Zhong +5 more
semanticscholar +1 more source
Nature Electronics, 2022 Reservoir computing offers a powerful neuromorphic computing architecture for spatiotemporal signal processing. To boost the power efficiency of the hardware implementations of reservoir computing systems, analogue devices and components—including ...
Yanan Zhong +11 more
semanticscholar +1 more source