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Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness

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Last updated: 27 Apr 2026

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Cloud computing and distributed platforms — Data flow, data categories and data use — Part 2: Guidance on application and extensibility

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Last updated: 27 Apr 2026

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Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model; Text in English

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Last updated: 27 Apr 2026

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Green and sustainable AI (N 256)

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Last updated: 27 Apr 2026

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Information technology. Software and systems engineering. Tools and methods for product line organizational management

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Last updated: 27 Apr 2026

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Quality requirements for video-based methods of personnel selection

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Last updated: 27 Apr 2026

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Transmission of language-based data between artificial intelligences – Specification of parameters and formats

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Last updated: 27 Apr 2026

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Guideline for the development of deep learning image recognition systems in medicine; Text in German and English

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Last updated: 27 Apr 2026

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Guideline for the development of deep learning image recognition systems

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Last updated: 27 Apr 2026

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Predictive control and maintenance of data intensive industrial processes

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Last updated: 27 Apr 2026

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Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

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Last updated: 27 Apr 2026

ISO/IEC 26556:2018 BS ISO/IEC 26556:2018

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Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness

Cloud computing and distributed platforms — Data flow, data categories and data use — Part 2: Guidance on application and extensibility

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model; Text in English

Green and sustainable AI (N 256)

Information technology. Software and systems engineering. Tools and methods for product line organizational management

Quality requirements for video-based methods of personnel selection

Transmission of language-based data between artificial intelligences – Specification of parameters and formats

Guideline for the development of deep learning image recognition systems in medicine; Text in German and English

Guideline for the development of deep learning image recognition systems

Predictive control and maintenance of data intensive industrial processes

Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

Information technology. Software and systems engineering. Tools and methods for product line organizational management

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