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pro vyhledávání: '"EMERSON, DAVID"'
With the growth of large language models, now incorporating billions of parameters, the hardware prerequisites for their training and deployment have seen a corresponding increase. Although existing tools facilitate model parallelization and distribu
Externí odkaz:
http://arxiv.org/abs/2312.03140
The impact of spanwise flexibility on the propulsion performance of two foils arranged in tandem and subjected to a prescribed sinusoidal heaving motion has been studied at a Reynolds number of 100. This comprises a wide range of natural frequencies
Externí odkaz:
http://arxiv.org/abs/2311.05255
Autor:
Ross, Aimee J., Chappell, James, van de Wetering, Johannes J., Cowley, James, Archer, Emily, Bourgeois, Nicolas, Corner, Laura, Emerson, David R., Feder, Linus, Gu, Xiao J., Jakobsson, Oscar, Jones, Harry, Picksley, Alexander, Reid, Linus, Wang, Wei-Ting, Walczak, Roman, Hooker, Simon M.
Publikováno v:
Physical Review Research vol. 6, L022001 (2024)
We demonstrate resonant excitation of a plasma wave by a train of short laser pulses guided in a pre-formed plasma channel, for parameters relevant to a plasma-modulated plasma accelerator (P-MoPA). We show experimentally that a train of $N \approx 1
Externí odkaz:
http://arxiv.org/abs/2310.05097
As the breadth and depth of language model applications continue to expand rapidly, it is increasingly important to build efficient frameworks for measuring and mitigating the learned or inherited social biases of these models. In this paper, we pres
Externí odkaz:
http://arxiv.org/abs/2307.10472
Autor:
Tian, Jacob-Junqi, Emerson, David, Miyandoab, Sevil Zanjani, Pandya, Deval, Seyyed-Kalantari, Laleh, Khattak, Faiza Khan
Prompting large language models has gained immense popularity in recent years due to the advantage of producing good results even without the need for labelled data. However, this requires prompt tuning to get optimal prompts that lead to better mode
Externí odkaz:
http://arxiv.org/abs/2306.04735
In this note, we show how reconstruction schemes can have a significant impact on interpreting lattice Boltzmann simulation data. To reconstruct turbulence quantities, e.g., the kinetic energy dissipation rate and enstrophy, schemes higher than secon
Externí odkaz:
http://arxiv.org/abs/2302.13910
Publikováno v:
Revista Científica General José María Córdova, Vol 22, Iss 46 (2024)
Este artículo investiga la organización criminal conocida como el Tren de Aragua y su rápida expansión en Colombia, Perú, Ecuador y Chile en los años recientes. Con base en ciencia de datos y la herramienta Meltwater, se analiza la escucha soci
Externí odkaz:
https://doaj.org/article/4e91746742a34d86beb9fda78bac0c1b
Autor:
Emerson, David R.
Indiana University-Purdue University Indianapolis (IUPUI)
Depth estimation is increasingly becoming more important in computer vision. The requirement for autonomous systems to gauge their surroundings is of the utmost importance in order to avo
Depth estimation is increasingly becoming more important in computer vision. The requirement for autonomous systems to gauge their surroundings is of the utmost importance in order to avo
Externí odkaz:
https://hdl.handle.net/1805/19900
Autor:
Emerson, David Frederic.
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2018
Cataloged from PDF version of thesis. "September 2018."
Includes bibliographical references (pages 193-211).
Waste gases are an increasing
Cataloged from PDF version of thesis. "September 2018."
Includes bibliographical references (pages 193-211).
Waste gases are an increasing
Externí odkaz:
https://hdl.handle.net/1721.1/121889