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pro vyhledávání: '"Johnson, William P"'
Artificial Intelligence (AI) is fundamentally reshaping various industries by enhancing decision-making processes, optimizing operations, and unlocking new opportunities for innovation. This paper explores the applications of AI across four key secto
Externí odkaz:
http://arxiv.org/abs/2409.13059
This paper presents an innovative data-centric paradigm for designing computational systems by introducing a new informatics domain model. The proposed model moves away from the conventional node-centric framework and focuses on data-centric categori
Externí odkaz:
http://arxiv.org/abs/2409.09058
Autor:
Huang, Kaixuan, Qu, Yuanhao, Cousins, Henry, Johnson, William A., Yin, Di, Shah, Mihir, Zhou, Denny, Altman, Russ, Wang, Mengdi, Cong, Le
The introduction of genome engineering technology has transformed biomedical research, making it possible to make precise changes to genetic information. However, creating an efficient gene-editing system requires a deep understanding of CRISPR techn
Externí odkaz:
http://arxiv.org/abs/2404.18021
The main result is that the only non trivial closed ideal in the Banach algebra $L(L^p)$ of bounded linear operators on $L^p(0,1)$, $1\le p < \infty$, that has a left approximate identity is the ideal of compact operators. The algebra $L(L^1)$ has at
Externí odkaz:
http://arxiv.org/abs/2402.13438
Autor:
Lopez, Samuel F., Janssen, Sarah E., Tate, Michael T., Fernandez, Diego P., Anderson, Christopher R., Armstrong, Grace J., Wang, Thomas C., Johnson, William P.
Publikováno v:
In Science of the Total Environment 20 December 2024 957
Autor:
Lau, Richard, Yao, Lihan, Huster, Todd, Johnson, William, Arleth, Stephen, Wong, Justin, Ridge, Devin, Fletcher, Michael, Headley, William C.
This paper describes a systematic approach towards building a new family of neural networks based on a delay-loop version of a reservoir neural network. The resulting architecture, called Scaled-Time-Attention Robust Edge (STARE) network, exploits hy
Externí odkaz:
http://arxiv.org/abs/2107.04688
Publikováno v:
Journal of Computational Physics, 451 (2022)
The method-of-moments implementation of the electric-field integral equation yields many code-verification challenges due to the various sources of numerical error and their possible interactions. Matters are further complicated by singular integrals
Externí odkaz:
http://arxiv.org/abs/2106.13398
Current radio frequency (RF) sensors at the Edge lack the computational resources to support practical, in-situ training for intelligent spectrum monitoring, and sensor data classification in general. We propose a solution via Deep Delay Loop Reservo
Externí odkaz:
http://arxiv.org/abs/2106.16087
We introduce a novel design for in-situ training of machine learning algorithms built into smart sensors, and illustrate distributed training scenarios using radio frequency (RF) spectrum sensors. Current RF sensors at the Edge lack the computational
Externí odkaz:
http://arxiv.org/abs/2104.00751