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pro vyhledávání: '"PRITCHARD, A. J."'
Autor:
Pritchard, Nicholas J.
Quantum computing promises solutions to classically difficult and new-found problems through controlling the subtleties of quantum computing. The Quantum Approximate Optimisation Algorithm (QAOA) is a recently proposed quantum algorithm designed to t
Externí odkaz:
http://arxiv.org/abs/2412.17309
Spiking Neural Networks (SNNs) promise efficient spatio-temporal data processing owing to their dynamic nature. This paper addresses a significant challenge in radio astronomy, Radio Frequency Interference (RFI) detection, by reformulating it as a ti
Externí odkaz:
http://arxiv.org/abs/2412.06124
Radio Frequency Interference (RFI) poses a significant challenge in radio astronomy, arising from terrestrial and celestial sources, disrupting observations conducted by radio telescopes. Addressing RFI involves intricate heuristic algorithms, manual
Externí odkaz:
http://arxiv.org/abs/2406.06075
Computational workflow management systems power contemporary data-intensive sciences. The slowly resolving reproducibility crisis presents both a sobering warning and an opportunity to iterate on what science and data processing entails. The Square K
Externí odkaz:
http://arxiv.org/abs/2406.01146
Detecting and mitigating Radio Frequency Interference (RFI) is critical for enabling and maximising the scientific output of radio telescopes. The emergence of machine learning methods has led to their application in radio astronomy, and in RFI detec
Externí odkaz:
http://arxiv.org/abs/2311.14303
Neuromorphic computing and spiking neural networks aim to leverage biological inspiration to achieve greater energy efficiency and computational power beyond traditional von Neumann architectured machines. In particular, spiking neural networks hold
Externí odkaz:
http://arxiv.org/abs/2304.06897
Autor:
Pritchard, Alexander J.1,2 (AUTHOR) ajpritchard@ucdavis.edu, Bliss-Moreau, Eliza1,3 (AUTHOR), Balasubramaniam, Krishna N.2,4 (AUTHOR), Capitanio, John P.1 (AUTHOR), Marty, Pascal R.2,5 (AUTHOR), Kaburu, Stefano S. K.2,6 (AUTHOR), Arlet, Małgorzata E.7 (AUTHOR), Beisner, Brianne A.1 (AUTHOR), McCowan, Brenda1,2 (AUTHOR)
Publikováno v:
PLoS ONE. 9/6/2024, Vol. 19 Issue 9, p1-30. 30p.
How self-organization leads to the emergence of structure in social populations remains a fascinating and open question in the study of complex systems. One frequently observed structure that emerges again and again across systems is that of self-sim
Externí odkaz:
http://arxiv.org/abs/2111.11362
Autor:
Pritchard, Nicholas J. ⁎, Wicenec, Andreas
Publikováno v:
In Future Generation Computer Systems May 2025 166
Akademický článek
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