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metasnf: Meta Clustering with Similarity Network Fusion in R

Autor: Velayudhan, Prashanth S, Xu, Xiaoqiao, Kallurkar, Prajkta, Balbon, Ana Patricia, Secara, Maria T, Taback, Adam, Sabac, Denise, Chan, Nicholas, Ma, Shihao, Wang, Bo, Felsky, Daniel, Ameis, Stephanie H, Cox, Brian, Hawco, Colin, Erdman, Lauren, Wheeler, Anne L

metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF i

Externí odkaz: http://arxiv.org/abs/2410.17976

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Evaluation of Task Specific Productivity Improvements Using a Generative Artificial Intelligence Personal Assistant Tool

Autor: Freeman, Brian S., Arriola, Kendall, Cottell, Dan, Lawlor, Emmett, Erdman, Matt, Sutherland, Trevor, Wells, Brian

This study evaluates the productivity improvements achieved using a generative artificial intelligence personal assistant tool (PAT) developed by Trane Technologies. The PAT, based on OpenAI's GPT 3.5 model, was deployed on Microsoft Azure to ensure

Externí odkaz: http://arxiv.org/abs/2409.14511

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Artificially intelligent Maxwell's demon for optimal control of open quantum systems

Autor: Erdman, Paolo Andrea, Czupryniak, Robert, Bhandari, Bibek, Jordan, Andrew N., Noé, Frank, Eisert, Jens, Guarnieri, Giacomo

Feedback control of open quantum systems is of fundamental importance for practical applications in various contexts, ranging from quantum computation to quantum error correction and quantum metrology. Its use in the context of thermodynamics further

Externí odkaz: http://arxiv.org/abs/2408.15328

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Dicke superradiant enhancement of the heat current in circuit QED

Autor: Andolina, Gian Marcello, Erdman, Paolo Andrea, Noé, Frank, Pekola, Jukka, Schirò, Marco

Collective effects, such as Dicke superradiant emission, can enhance the performance of a quantum device. Here, we study the heat current flowing between a cold and a hot bath through an ensemble of $N$ qubits, which are collectively coupled to the t

Externí odkaz: http://arxiv.org/abs/2401.17469

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Dissipation-induced collective advantage of a quantum thermal machine

Autor: Carrega, Matteo, Razzoli, Luca, Erdman, Paolo Andrea, Cavaliere, Fabio, Benenti, Giuliano, Sassetti, Maura

Publikováno v: AVS Quantum Science 6, 025001 (2024)

Do quantum correlations lead to better performance with respect to several different systems working independently? For quantum thermal machines, the question is whether a working medium (WM) made of $N$ constituents exhibits better performance than

Externí odkaz: http://arxiv.org/abs/2310.01938

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Akademický článek

The Hydronephrosis Severity Index guides paediatric antenatal hydronephrosis management based on artificial intelligence applied to ultrasound images alone

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract Antenatal hydronephrosis (HN) impacts up to 5% of pregnancies and requires close, frequent follow-up monitoring to determine who may benefit from surgical intervention. To create an automated HN Severity Index (HSI) that helps guide clinical

Externí odkaz: https://doaj.org/article/8aa35c14841242259eba98cfaf0f7df3