Emerging Topics in Artificial Intelligence (ETAI) 2022最新文献

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A JTC-based photonic neural network accelerator architecture (Conference Presentation) 基于jtc的光子神经网络加速器体系结构(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2634039
Puneet Gupta, Shurui Li
{"title":"A JTC-based photonic neural network accelerator architecture (Conference Presentation)","authors":"Puneet Gupta, Shurui Li","doi":"10.1117/12.2634039","DOIUrl":"https://doi.org/10.1117/12.2634039","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134360724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterization of anomalous diffusion with neural networks (Conference Presentation) 用神经网络表征异常扩散(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2633077
Stefano Bo, Aykut Argun, Falko Schmidt, Ralf Eichhorn, Giovanni Volpe
{"title":"Characterization of anomalous diffusion with neural networks (Conference Presentation)","authors":"Stefano Bo, Aykut Argun, Falko Schmidt, Ralf Eichhorn, Giovanni Volpe","doi":"10.1117/12.2633077","DOIUrl":"https://doi.org/10.1117/12.2633077","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123644973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CM2Net: a deep learning framework for computational miniature mesoscope (Conference Presentation) CM2Net:计算微型介观镜的深度学习框架(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2632322
Qianwan Yang, Yujia Xue, Guo-ying Hu, Kehan Guo, Lei Tian
{"title":"CM2Net: a deep learning framework for computational miniature mesoscope (Conference Presentation)","authors":"Qianwan Yang, Yujia Xue, Guo-ying Hu, Kehan Guo, Lei Tian","doi":"10.1117/12.2632322","DOIUrl":"https://doi.org/10.1117/12.2632322","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133778703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computational metrics of an injection-locked large area semiconductor laser for neural network computing (Conference Presentation) 用于神经网络计算的大面积注入锁定半导体激光器的计算度量(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2633381
Anas Skalli, X. Porte, N. Haghighi, S. Reitzenstein, J. Lott, D. Brunner
{"title":"Computational metrics of an injection-locked large area semiconductor laser for neural network computing (Conference Presentation)","authors":"Anas Skalli, X. Porte, N. Haghighi, S. Reitzenstein, J. Lott, D. Brunner","doi":"10.1117/12.2633381","DOIUrl":"https://doi.org/10.1117/12.2633381","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multilayer brain connectivity analysis in Alzheimer’s disease using functional MRI data (Conference Presentation) 利用功能MRI数据分析阿尔茨海默病的多层脑连通性(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2632379
A. Canal-Garcia, D. Veréb, M. Mijalkov, G. Volpe, J. Pereira
{"title":"Multilayer brain connectivity analysis in Alzheimer’s disease using functional MRI data (Conference Presentation)","authors":"A. Canal-Garcia, D. Veréb, M. Mijalkov, G. Volpe, J. Pereira","doi":"10.1117/12.2632379","DOIUrl":"https://doi.org/10.1117/12.2632379","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131695575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using untrained, physics-informed neural networks for structured illumination image reconstruction (Conference Presentation) 使用未经训练的物理信息神经网络进行结构化照明图像重建(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2633621
Zach Burns, Zhaowei Liu
{"title":"Using untrained, physics-informed neural networks for structured illumination image reconstruction (Conference Presentation)","authors":"Zach Burns, Zhaowei Liu","doi":"10.1117/12.2633621","DOIUrl":"https://doi.org/10.1117/12.2633621","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Label-free characterization of biological matter across scales (Conference Presentation) 跨尺度生物物质的无标签表征(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2633978
Daniel Midtvedt, Erik Olsén, Benjamin Midtvedt, E. K. Esbjörner, Fredrik Skärberg, Berenice Garcia, C. Adiels, F. Höök, G. Volpe
{"title":"Label-free characterization of biological matter across scales (Conference Presentation)","authors":"Daniel Midtvedt, Erik Olsén, Benjamin Midtvedt, E. K. Esbjörner, Fredrik Skärberg, Berenice Garcia, C. Adiels, F. Höök, G. Volpe","doi":"10.1117/12.2633978","DOIUrl":"https://doi.org/10.1117/12.2633978","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"10 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124291778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optical spike processing with exciton-polariton microcavities (Conference Presentation) 激子-极化子微腔的光脉冲处理(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2631985
Krzysztof Tyszka, M. Furman, R. Mirek, M. Król, A. Opala, B. Seredyński, J. Suffczyński, W. Pacuski, M. Matuszewski, J. Szczytko, B. Piętka
{"title":"Optical spike processing with exciton-polariton microcavities (Conference Presentation)","authors":"Krzysztof Tyszka, M. Furman, R. Mirek, M. Król, A. Opala, B. Seredyński, J. Suffczyński, W. Pacuski, M. Matuszewski, J. Szczytko, B. Piętka","doi":"10.1117/12.2631985","DOIUrl":"https://doi.org/10.1117/12.2631985","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine learning for scanning probe and electron microscopy for materials discovery (Conference Presentation) 用于材料发现的扫描探针和电子显微镜的机器学习(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2635229
S. Kalinin, Yongtao Liu
{"title":"Machine learning for scanning probe and electron microscopy for materials discovery (Conference Presentation)","authors":"S. Kalinin, Yongtao Liu","doi":"10.1117/12.2635229","DOIUrl":"https://doi.org/10.1117/12.2635229","url":null,"abstract":"","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133109395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Single-shot self-supervised particle tracking (Conference Presentation) 单次自监督粒子跟踪(会议报告)
Emerging Topics in Artificial Intelligence (ETAI) 2022 Pub Date : 2022-10-04 DOI: 10.1117/12.2633355
Benjamin Midtvedt, Jesús D. Pineda Castro, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie V. Wesén, E. K. Esbjörner, Erik Selander, F. Höök, Daniel Midtvedt, Giovanni Volpe
{"title":"Single-shot self-supervised particle tracking (Conference Presentation)","authors":"Benjamin Midtvedt, Jesús D. Pineda Castro, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie V. Wesén, E. K. Esbjörner, Erik Selander, F. Höök, Daniel Midtvedt, Giovanni Volpe","doi":"10.1117/12.2633355","DOIUrl":"https://doi.org/10.1117/12.2633355","url":null,"abstract":"Particle tracking is a fundamental task in digital microscopy. Recently, machine-learning approaches have made great strides in overcoming the limitations of more classical approaches. The training of state-of-the-art machine-learning methods almost universally relies on either vast amounts of labeled experimental data or the ability to numerically simulate realistic datasets. However, the data produced by experiments are often challenging to label and cannot be easily reproduced numerically. Here, we propose a novel deep-learning method, named LodeSTAR (Low-shot deep Symmetric Tracking And Regression), that learns to tracks objects with sub-pixel accuracy from a single unlabeled experimental image. This is made possible by exploiting the inherent roto-translational symmetries of the data. We demonstrate that LodeSTAR outperforms traditional methods in terms of accuracy. Furthermore, we analyze challenging experimental data containing densely packed cells or noisy backgrounds. We also exploit additional symmetries to extend the measurable particle properties to the particle's vertical position by propagating the signal in Fourier space and its polarizability by scaling the signal strength. Thanks to the ability to train deep-learning models with a single unlabeled image, LodeSTAR can accelerate the development of high-quality microscopic analysis pipelines for engineering, biology, and medicine.","PeriodicalId":179507,"journal":{"name":"Emerging Topics in Artificial Intelligence (ETAI) 2022","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115100071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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