MPAI calls for “Company Performance Prediction” technologies

Top Quote MPAI has concluded its 51st General Assembly (MPAI-51) approving publication of the Compression and Understanding of Industrial data (MPAI-CUI) V2.0 Call for Technologies End Quote
  • (1888PressRelease) December 23, 2024 - Geneva, Switzerland – MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – the international, non-profit, unaffiliated organisation developing AI-based data coding standards – has concluded its 51st General Assembly (MPAI-51) approving publication of the Compression and Understanding of Industrial data (MPAI-CUI) V2.0 Call for Technologies.

    Call for Technologies: Compression and Understanding of Industrial data (MPAI-CUI) V2.0 (https://mpai.community/standards/mpai-cui/v2-0/) invites any party able and wishing to contribute to the development of the planned MPAI-CUI V2.0 Technical Specification to submit a response by 11th of February 2025. The new standard will extend the current company organisation index and default/discontinuity probabilities of the with descriptors and information on the compliance of the Machine Learning Models used.

    MPAI-51 also approved as MPAI standards:
    1. Neural Network Traceability (MPAI-NNT) V1.0 (https://mpai.community/standards/mpai-nnw/nnt/v1-0/) to evaluate the ability to trace back to its source a neural network that has been modified, the computational cost of injecting, extracting, detecting, decoding, or matching data from a neural network, and the impact on the performance of a neural network with inserted traceability data and its inference.
    2. Human and Machine Communication (MPAI-HMC) V2.0 (https://mpai.community/standards/mpai-hmc/v2-0/) that enables advanced forms of communication between humans in a real space or represented in a Virtual Space, and Machines represented as humanoids in a Virtual Space or rendered as humanoids in a real space.
    3. Context-based Audio Enhancement (MPAI-CAE) V2.3 (https://mpai.community/standards/mpai-cae/usc/v2-0/) , Multimodal Conversation (MPAI MMC) V2.3 (https://mpai.community/standards/mpai-mmc/v2-3/) , Object and Scene Descriptors (MPAI-OSD) V1.2 (https://mpai.community/standards/mpai-osd/v1-2/ ), and: Portable Avatar Format (MPAI-PAF) V1.3 (https://mpai.community/standards/mpai-paf/v1-3/)

    The MPAI-CUI V2.0 Call for Technologies will be presented online on 8th of January 2025 at 15 UTC. Register at https://tinyurl.com/4vdps8f3 to attend.

    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) dot
    - Blueskay (https://bsky.app/profile/mpaicommunity.bsky.social)

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