Search Results - "Martin Foltin"

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  1. 1

    Some ideas about democracy and the importance of education in the work of T. G. Masaryk by Foltin, Martin

    Published in Ethics & bioethics (in Central Europe) (01-06-2023)
    “…The main aim of the paper is to analyse T. G Masaryk’s ideas about the importance of education in democratic systems. In particular, the study analyses the…”
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    Analog content-addressable memories with memristors by Li, Can, Graves, Catherine E., Sheng, Xia, Miller, Darrin, Foltin, Martin, Pedretti, Giacomo, Strachan, John Paul

    Published in Nature communications (02-04-2020)
    “…A content-addressable memory compares an input search word against all rows of stored words in an array in a highly parallel manner. While supplying a very…”
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    Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks by Cai, Fuxi, Kumar, Suhas, Van Vaerenbergh, Thomas, Sheng, Xia, Liu, Rui, Li, Can, Liu, Zhan, Foltin, Martin, Yu, Shimeng, Xia, Qiangfei, Yang, J. Joshua, Beausoleil, Raymond, Lu, Wei D., Strachan, John Paul

    Published in Nature electronics (06-07-2020)
    “…To tackle important combinatorial optimization problems, a variety of annealing-inspired computing accelerators, based on several different technology…”
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    Metodologický prístup Várossovej k výskumu dejín filozofického myslenia by Martin Foltin

    Published in Filozofia (Bratislava) (01-01-2024)
    “…Článok sa zameriava na metodologické úvahy o výskume dejín slovenskej filozofie v období uplatňovania marxisticko-leninskej filozofie s dôrazom na filozofické…”
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    Tree-based machine learning performed in-memory with memristive analog CAM by Pedretti, Giacomo, Graves, Catherine E., Serebryakov, Sergey, Mao, Ruibin, Sheng, Xia, Foltin, Martin, Li, Can, Strachan, John Paul

    Published in Nature communications (04-10-2021)
    “…Tree-based machine learning techniques, such as Decision Trees and Random Forests, are top performers in several domains as they do well with limited training…”
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    Úvahy o niektorých námietkach voči Nussbaumovej teórii spôsobilostí v kontexte možnosti zdôvodnenia ľudských práv by Foltin, Martin

    Published in Filozofia (Bratislava) (16-10-2023)
    “…Predmetom tohto článku je analýza základných myšlienok Nussbaumovej teórie spôsobilosti. Okrem výhod tohto prístupu niektorí autori vzniesli voči teórii…”
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    Simultaneous use of magnetic method in localization of impalpable breast cancer and sentinel lymph nodes detection: initial experience by Pohlodek, Kamil, Foltín, Martin, Me iarová, Iveta, Ondriaš, František

    Published in Nanomedicine (London, England) (01-12-2018)
    “…In this study we used a new technology for localization of non-palpable breast tumors using a small steel marker in conjunction of sentinel nodes (SLNs)…”
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    Decision trees within a molecular memristor by Goswami, Sreetosh, Pramanick, Rajib, Patra, Abhijeet, Rath, Santi Prasad, Foltin, Martin, Ariando, A., Thompson, Damien, Venkatesan, T., Goswami, Sreebrata, Williams, R. Stanley

    Published in Nature (London) (02-09-2021)
    “…Profuse dendritic-synaptic interconnections among neurons in the neocortex embed intricate logic structures enabling sophisticated decision-making that vastly…”
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    Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines by Koomthanam, Annmary Justine, Tripathy, Aalap, Serebryakov, Sergey, Nayak, Gyanaranjan, Foltin, Martin, Bhattacharya, Suparna

    Published in IEEE internet computing (01-05-2024)
    “…In this article, we present the capabilities of the Common Metadata Framework (CMF) to enable trustworthy artificial intelligence (AI). CMF is a decentralized…”
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    Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability by Venkataramanan, Revathy, Tripathy, Aalap, Foltin, Martin, Yip, Hong Yung, Justine, Annmary, Sheth, Amit, Sheth, Amit

    Published in IEEE internet computing (01-01-2023)
    “…Artificial intelligence (AI) pipelines are complex, heavily parameterized, and expensive to execute in terms of time and computational resources. Consequently,…”
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    PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM by Ankit, Aayush, Hajj, Izzat El, Chalamalasetti, Sai Rahul, Agarwal, Sapan, Marinella, Matthew, Foltin, Martin, Strachan, John Paul, Milojicic, Dejan, Hwu, Wen-Mei, Roy, Kaushik

    Published in IEEE transactions on computers (01-08-2020)
    “…The wide adoption of deep neural networks has been accompanied by ever-increasing energy and performance demands due to the expensive nature of training them…”
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