MPAI releases the MPAI Metaverse Model as Open-Source Software

MPAI has concluded its 53rd General Assembly (MPAI-53) releasing the first version of the MPAI Metaverse Model Open-Source Reference Software and kicking off the new project Compression and Understanding of Industrial Data (MPAI-CUI) – Company Performance Prediction (CUI-CPP) V2.0. End Quote

(1888PressRelease) March 10, 2025 - 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 53rd General Assembly (MPAI-53) releasing the first version of the MPAI Metaverse Model Open-Source Reference Software and kicking off the new project Compression and Understanding of Industrial Data (MPAI-CUI) – Company Performance Prediction (CUI-CPP) V2.0.

MPAI has been working on MPAI Metaverse Model (MPAI-MMM) standards since January 2022 and published Two technical Reports and two Technical Specifications on Architecture and Technologies. The Reference Software released today implements a significant number of the MMM functionalities and uses a set of Unity instances to realise the different environments of the metaverse instance. You can find the MMM software at http://bit.ly/41J0wsj (REST API web server) and https://bit.ly/4ituw0R (Unity web server). Please email secretariat ( @ ) mpai dot community first for information on how to log in dot

The Company Performance Prediction (CUI-CPP) project intends to provide a solution to a problem afflicting all companies: given the governance structure and the financial situation of a company and various types of risks that may affect it, what is the impact of the components of the governance structure on the governance, finance, and risk on the probability of default? MPAI has developed a set of functional requirements and a framework licence. A Call for Technologies was published and the standard will be collaboratively developed based on the responses to the Call.

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 areas.
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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