Title: Universality in numerical computation with random data: Case Studies, Analytical Results and Some Speculations
We discuss various universality aspects of numerical computations using standard algorithms. These aspects include empirical observations and rigorous results. We also make various speculations about computation in a broader sense. more »« less
Bauer, Aaron; Zhang, Chi; Rolland, Jannick P
(, SPIE)
Aikens, David M; Rehn, Henning; Thibault, Simon; Uhlendorf, Kristina
(Ed.)
Afocal telescopes are often used as foreoptics to existing imaging systems. Here, we discuss some unique aspects of designing afocal systems and detail various afocal design studies we performed using freeform optics.
Federal funding agencies and industry entities are seeking innovative approaches to address the ever-growing cybersecurity crisis. Increasingly, numerous cybersecurity thought leaders are indicating that Artificial Intelligence (AI)-enabled analytics can help tackle key cybersecurity tasks and deploy defenses. This half-day workshop, co-located with ACM KDD, sought to attain significant research contributions to various aspects of AI-enabled analytics for cybersecurity applications and deployable defense solutions from academics and practitioners. This workshop was a joint workshop of the 2021 AI-enabled Cybersecurity Analytics and 2021 International Workshop on Deployable Machine Learning for Security Defense. As such, we developed an interdisciplinary Program Committee with significant experience in various aspects of AI, cybersecurity, and/or deployable defense.
Mela, Alexander P.; Rico-RamÃrez, Adriana M.; Glass, N. Louise
(, Cells)
null
(Ed.)
Filamentous fungi typically grow as interconnected multinucleate syncytia that can be microscopic to many hectares in size. Mechanistic details and rules that govern the formation and function of these multinucleate syncytia are largely unexplored, including details on syncytial morphology and the regulatory controls of cellular and molecular processes. Recent discoveries have revealed various adaptations that enable fungal syncytia to accomplish coordinated behaviors, including cell growth, nuclear division, secretion, communication, and adaptation of the hyphal network for mixing nuclear and cytoplasmic organelles. In this review, we highlight recent studies using advanced technologies to define rules that govern organizing principles of hyphal and colony differentiation, including various aspects of nuclear and mitochondrial cooperation versus competition. We place these findings into context with previous foundational literature and present still unanswered questions on mechanistic aspects, function, and morphological diversity of fungal syncytia across the fungal kingdom.
Samtani, S; Yang, S; and Chen, H.
(, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021)
Despite significant contributions to various aspects of cybersecurity, cyber-attacks remain on the unfortunate rise. Increasingly, internationally recognized entities such as the National Science Foundation and National Science & Technology Council have noted Artificial Intelligence can help analyze billions of log files, Dark Web data, malware, and other data sources to help execute fundamental cybersecurity tasks. Our objective for the 1st Workshop on Artificial Intelligence-enabled Cybersecurity Analytics (half-day; co-located with ACM KDD) was to gather academic and practitioners to contribute recent work pertaining to AI-enabled cybersecurity analytics. We composed an outstanding, inter-disciplinary Program Committee with significant expertise in various aspects of AI-enabled Cybersecurity Analytics to evaluate the submitted work. Significant contributions to the half-day workshop were made in the areas of CTI, vulnerability assessment, and malware analysis.
Aftab, W; Mihaylova, L
(, the International Conference on Information Fusion (Fusion 2020))
The application of multiple target tracking algorithms has exponentially increased during the last two decades. Recently, model-free approaches, such as Gaussian process regression and convolutional neural networks, have been developed for target tracking. This paper presents a simulation-based study on the practical aspects of a very promising and recently proposed Gaussian process method, namely the Gaussian process motion tracker [1]. The paper also provides design guidelines on the various aspects of the above-mentioned tracking method.
Deift, P, and Trogdon, T. Universality in numerical computation with random data: Case Studies, Analytical Results and Some Speculations. Retrieved from https://par.nsf.gov/biblio/10097856. Abel Symposia 13. Web. doi:10.1007/978-3-030-01593-0_8.
Deift, P, & Trogdon, T. Universality in numerical computation with random data: Case Studies, Analytical Results and Some Speculations. Abel Symposia, 13 (). Retrieved from https://par.nsf.gov/biblio/10097856. https://doi.org/10.1007/978-3-030-01593-0_8
@article{osti_10097856,
place = {Country unknown/Code not available},
title = {Universality in numerical computation with random data: Case Studies, Analytical Results and Some Speculations},
url = {https://par.nsf.gov/biblio/10097856},
DOI = {10.1007/978-3-030-01593-0_8},
abstractNote = {We discuss various universality aspects of numerical computations using standard algorithms. These aspects include empirical observations and rigorous results. We also make various speculations about computation in a broader sense.},
journal = {Abel Symposia},
volume = {13},
author = {Deift, P and Trogdon, T},
}
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