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ITU-T Y.3179 (04/2021)
Architectural framework for machine learning model serving in future networks including IMT-2020
This Recommendation provides an architectural framework for machine learning (ML) models serving in future networks including IMT-2020, i.e., preparing and…
BS 10102-1:2020
Big data. Guidance on data-driven organizations
This part of BS 10102 gives guidance on realizing value from data, including big data, such as gaining insights, informing…
NEMA IOT P 2
A NEMA White Paper on Emerging Technologies and the Industrial Internet of Things and Their Applications
The NEMA 2018 IoTNOW webinar series was designed to learn about the IoT emerging trends that must be considered during…
VDMA 15423 deals with the technical requirements for minimizing risks that may occur with newly placed on the market power-operated…
BS 10008-1:2020
Evidential weight and legal admissibility of electronically stored information (ESI) – Specification
What is BS 10008-1 about? BS 10008-1 is the first part of the multi-series. BS 10008-1 specifies requirements for the…
NIST Artificial Intelligence AI 100-3
The Language of Trustworthy AI: An In-Depth Glossary of Terms
This document is a guide and record of the development for the NIST (National Institute of Standards and Technology) glossary…
ITU-T Y.3172 (06/2019)
Architectural framework for machine learning in future networks including IMT-2020
Recommendation ITU-T Y.3172 specifies an architectural framework for machine learning (ML) in future networks including IMT-2020. A set of architectural…
BS 10102-2:2020
Big data. Guidance on data-intensive projects
1Ā Ā Ā Scope This part of BSĀ 10102 provides guidance on good practice for implementing data-intensive projects to realize value, including: a) defining…
ITU-T Y.3177 (02/2021)
Architectural framework for artificial intelligence-based network automation for resource and fault management in future networks including IMT-2020
This Recommendation specifies an architectural framework for network automation based on artificial intelligence (AI) for resource and fault management in…
NIST AI 100-2 E2023
Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML).…
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