MPAI addresses signalling of Machine Learning Model compliance

October 27, 2024
Top Quote MPAI has concluded its 49th General Assembly by approving for publication with a request for community comments of Technical Specification: AI Framework (MPAI-AIF) V2.1 and Technical Specification: Data Types, Formats, and Attributes (MPAI-TFA) V1.2. End Quote
  • (1888PressRelease) October 27, 2024 - MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – the international, non-profit, and unaffiliated organisation developing AI-based data coding standards – has concluded its 49th General Assembly (MPAI-49) by ap-proving for publication with a request for community comments:
    1.Technical Specification: AI Framework (MPAI-AIF) V2.1 (https://mpai.community/standards/mpai-aif/v2.1/)
    2. Technical Specification: Data Types, Formats, and Attributes (MPAI-TFA) V1.2 (https://mpai.community/standards/mpai-tfa/v1-2/)
    Technical Specification: AI Framework (MPAI-AIF) V2.1 includes a specification of the Machine Learning Model Data Type and refers to Technical Specification: Data Types, Formats, and Attributes (MPAI-TFA) V1.2 providing a specification of Machine Learning Model Qualifier (MPAI-TFA) V1.2. This enables the signalling of compliance of a Machine Learning Model to a particular regulation out of a list, its certification status, and the validity of the data. Both drafts are published for Community Comments to be received by the MPAI secretariat (secretariat ( @ ) mpai dot community) by 2024/11/16 T23:59 dot

    Technical Specification: Data Types, Formats, and Attributes (MPAI-TFA) V1.1 previously published for Community Comments is now a regular MPAI standard enabling the signalling of Formats and Attributes of Data Types related to media and metaverse.

    MPAI is continuing its work plan that involving the following activities:

    1. AI Framework (MPAI-AIF https://mpai.community/standards/mpai-aif/): reference software, conformance testing, and application are-as.
    2. AI for Health (MPAI-AIH https://mpai.community/standards/mpai-aih/): reference model and technologies for a system enabling clients to improve models processing health data and federated learning to share the training.
    3. Context-based Audio Enhancement (CAE-DC https://mpai.community/standards/mpai-cae/): new projects.
    4. Connected Autonomous Vehicle (MPAI-CAV https://mpai.community/standards/mpai-cav/): Functional Requirements of CAV architecture
    5. Compression and Understanding of Industrial Data (MPAI-CUI https://mpai.community/standards/mpai-cui/): preparation for extension of existing standard.
    6. End-to-End Video Coding (MPAI-EEV https://mpai.community/standards/mpai-eev/): video coding using AI-based End-to-End Video coding.
    7.AI-Enhanced Video Coding (MPAI-EVC https://mpai.community/standards/mpai-evc/). video coding with AI tools added to existing tools.8. Governance of the MPAI Ecosystem (MPAI-GME https://mpai.community/standards/mpai-gme/): working on version 2.0 of the Specification.
    9. Human and Machine Communication (MPAI-HMC https://mpai.community/standards/mpai-hmc/): model and technologies enabling a human or a machine to communicate with a machine or a human in a different cultural environment.
    10.Multimodal Conversation (MPAI-MMC https://mpai.community/standards/mpai-mmc/): reference software, drafting conformance testing, and new areas.
    11. MPAI Metaverse Model (MPAI-MMM https://mpai.community/standards/mpai-mmm/): reference software and metaverse technologies requiring standards.
    12.Neural Network Watermarking (MPAI-NNW https://mpai.community/standards/mpai-nnw/): reference software for enhanced applications.
    13.Object and Scene Description (MPAI-OSD https://mpai.community/standards/mpai-osd/): finalising V1.2 and developing reference software, conformance testing and new areas for digital humans.
    14. Portable Avatar Format (MPAI-PAF https://mpai.community/standards/mpai-ara/): reference software, conformance testing and new areas.
    15. AI Module Profiles (MPAI-PRF https://mpai.community/standards/mpai-prf/): to specify which features an AI Module supports.
    16.Server-based Predictive Multiplayer Gaming (MPAI-SPG https://mpai.community/standards/mpai-spg/): technical report on mitigation of data loss and cheating.
    17.Data Types, Formats, and Attributes (MPAI-TFA https://mpai.community/standards/mpai-tfa/): extending he standard to data types used by other MPAI standards.
    18.XR Venues (MPAI-XRV https://mpai.community/standards/mpai-xrv/): preparation for the development of the standard.

    Legal entities and representatives of academic departments supporting the MPAI mission and able to contribute to the development of standards for the efficient use of data can become MPAI members (https://mpai.community/2022/11/02/seven-good-reasons-to-join-mpai/)

    Please visit the MPAI website (https://mpai.community), contact the MPAI secretariat (secretariat ( @ ) mpai dot community) for specific information, subscribe to the MPAI Newsletter and follow MPAI on social media:

    - LinkedIn (https://www.linkedin.com/groups/13949076/).
    - X (https://twitter.com/mpaicommunity).
    - Facebook (https://www.facebook.com/mpaicommunity).
    - Instagram (https://www.instagram.com/mpaicommunity/).
    - Youtube (https://www.youtube.com/ ( @ ) MPAIstandards).

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