Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Naphade JofClinDiagRes2023 17-2.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Sbailò npjCompMat22 8.png|240px]]</div>
'''"[[Journal:Quality control in the clinical biochemistry laboratory: A glance|Quality control in the clinical biochemistry laboratory: A glance]]"'''
'''"[[Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding|The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding]]"'''


[Quality control]] (QC) is a process, designed to ensure reliable test results. It is part of overall [[laboratory]] quality management in terms of accuracy, reliability, and timeliness of reported test results. Two types of QC are exercised in [[Clinical chemistry|clinical biochemistry]]: internal QC (IQC) and external [[quality assurance]] (QA). IQC represents the quality methods performed every day by laboratory personnel with the laboratory’s materials and equipment. It primarily checks the precision (i.e., repeatability or reproducibility) of the test method. External quality assurance service (EQAS) is performed periodically (i.e., every month, every two months, twice a year) by the laboratory personnel, who primarily are checking the accuracy of the laboratory’s analytical methods ... ('''[[Journal:Quality control in the clinical biochemistry laboratory: A glance|Full article...]]''')<br />
We present the Novel Materials Discovery (NOMAD) [[Artificial intelligence|Artificial Intelligence]] (AI) Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of [[materials science]] data under FAIR (findable, accessible, interoperable, and reusable) data principles. The AI Toolkit readily operates on FAIR data stored in the central server of the NOMAD Archive, the largest database of materials science data worldwide, as well as locally stored, user-owned data. The NOMAD Oasis, a local, stand-alone server can also be used to run the AI Toolkit. By using [[Jupyter Notebook]]s that run in a web-browser, the NOMAD data can be queried and accessed; [[data mining]], [[machine learning]] (ML), and other AI techniques can then be applied to analyze them ... ('''[[Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding|Full article...]]''')<br />
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Revision as of 17:02, 5 February 2024

Fig1 Sbailò npjCompMat22 8.png

"The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding"

We present the Novel Materials Discovery (NOMAD) Artificial Intelligence (AI) Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of materials science data under FAIR (findable, accessible, interoperable, and reusable) data principles. The AI Toolkit readily operates on FAIR data stored in the central server of the NOMAD Archive, the largest database of materials science data worldwide, as well as locally stored, user-owned data. The NOMAD Oasis, a local, stand-alone server can also be used to run the AI Toolkit. By using Jupyter Notebooks that run in a web-browser, the NOMAD data can be queried and accessed; data mining, machine learning (ML), and other AI techniques can then be applied to analyze them ... (Full article...)
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