Where there are organisations counting years of existence in decades or centuries, there should not be much to celebrate for an organisation that only reaches as few as five years of existence. But there are years and years – even days and days – like in one day as a lion or a hundred years […] The post Celebrating the first five years of MPAI appeared first on MPAI community.| MPAI community
Geneva, Switzerland – 30th September 2025. MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – the international, non-profit, unaffiliated organisation developing AI-based data coding standards – has celebrated its fifth anniversary at its 60th General Assembly (MPAI-60). Established 5 years ago on 30 September 2020, MPAI has created the organisation, given itself […]| MPAI community
1 Introduction. 1 2 Purpose of the standard. 2 3 Definitions. 2 4 Actors affected by NN tracking technology. 3 5 Use case classification. 4 5.1 Use cases related to tracking technology the Neural Network model 4 5.2 Inference. 8 5.3 Summary of the use-cases. 9 6 Service and application scenarios. 9 6.1 Traceable newsletter […]| MPAI community
Abstract This document is provided as a help to those who intend to submit a response to Call for Technologies: Neural Network Watermarking (MPAI-NNW) – Technologies (NNW-TEC) V1.0. Text in: Red(as in this sentence) provides guidance to submitters and should not be included in a submission. Green (as in this sentence) is text that must […]| MPAI community
1 Coverage This Framework Licence applies to Technical Specification: Neural Network Watermarking (MPAI-NNW) – Technologies (NNW-TEC) V1.0 (in the following “Standard”) as adopted by Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI). Standard may include technologies that have been standardised by other MPAI Technical Specifications. Use of the Essential IPR of the Standard […]| MPAI community
Introduction Scope Definitions References Technical Documents Ecosystem Players Ecosystem Operation Ecosystem Data Types Notices and Disclaimers Technical Specification: Governance of the MPAI Ecosystem (MPAI-GME) V1.1 specifies the operation of the Ecosystem to enable: Implementers to develop components and Integrators to assemble solutions using MPAI Technical Specifications. Performance Assessors to assess the Performance of an Implementation. […]| MPAI community
Foreword Introduction Scope Definitions References Architecture Metadata API Conventions Basic API Security API Profiles Data Types Examples Technical Specification: Artificial Intelligence Framework (MPAI-AIF) V2.1 enables dynamic configuration, initialisation, and control of AI Workflows possibly composed of AI Modules in a standard AI Framework using a standard set of APIs supporting the Basic and Security Profile […]| MPAI community
Presentations on MPAI and its activities: Powerpoint (ppt) and video recordings (YT=YouTube and nYT=nonYouTube). Date Topic Time (min) ppt YT nYT 2025/09/26 Governance of the MPAI Ecosystem V2.0 30 ppt YT nYT 2025/09/17 Technical Specification Data Types, Formats, and Attributes (MPAI-TFA) V1.4 29 ppt YT nYT 2025/09/12 MPAI Metaverse Model (MPAI-MMM) – Technologies (MMM-TEC) V2.1 […]| MPAI community
Clarification of NNW-TEC Call for Technologies Call for Technologies: Neural Network Watermarking (NNW-TEC) Neural Network Traceability (NNW-NNT) V1.1 MPAI-NNW Reference Software V1.2 Reference Software code What MPAI-NNW is about Description of MPAI-NNW Neural Network Watermarking (MPAI-NNW) is an MPAI project developing Technical Specifications on the application of Watermarking, Fingerprinting, and other content management technologies to […]| MPAI community
The MPAI Metaverse Model (MPAI-MMM) – Technologies (MMM-TEC) specification is based on an innovative approach. As in the real world (Universe) we have animate and inanimate things, in an MPAI Metaverse (M-Instance) we have Processes and Items. Processes can animate Items (things) in the metaverse but can also act as a bridge between metaverse and […] The post Exploring the innovations of the MMM-TEC V2.1 standard appeared first on MPAI community.| MPAI community
Geneva, Switzerland – 20th August 2025. 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 59th General Assembly (MPAI-59) approving the publication of the MPAI Metaverse Model – Technologies V2.1 with a request for Community Comments. The earlier […]| MPAI community
A method typically used in video coding is to down-sample to half the input video frame before encoding. This reduces the computational cost but requires an up-sampling filter to recover the original video resolution in the decoded video to reduce as much as possible the loss in visual quality. Currently used filters are bicubic and Lanczos,| MPAI community
A method typically used in video coding is to down-sample to half the input video frame before encoding. This reduces the computational cost but requires an up-sampling filter to recover the original video resolution in the decoded video to reduce as much as possible the loss in visual quality. Currently used filters are bicubic and […] The post Exploring the Up-sampling Filter for Video applications (EVC-TEC) standard appeared first on MPAI community.| MPAI community
Geneva, Switzerland – 9th July 2025. 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 58th General Assembly (MPAI-58) approving the publication of the Up-sampling Filter for Video applications standard with a request for Community Comments. The approved […] The post MPAI publishes the Up-sampling Filter for Video applications with a request ...| MPAI community
2025 July 10 T09-13 – Campus Biotech Innovation Park, Av. de Sécheron 15, 1202 Genève, Switzerland (CH) To join online: Link to Workshop Context, Scope and Objectives This workshop has been conceived and organized by a group of people from the University of Geneva, the University of Zurich and the MPAI (https://mpai.community/), in collaboration with members of […]| MPAI community
DEFINITIONS 1 ARTICLE 1 – Name 2 ARTICLE 2 – Registered Office 3 ARTICLE 3 – Purpose 4 ARTICLE 4 – Membership 4.1 Application conditions 4.2 Voting rights 4.2.1 Rights of the Principal Members 4.2.2 Rights of Associate Members 4.3 Admission procedure 4.4 Terms and conditions 4.5 Suspension and expulsion 4.6 Resignation 4.7 Property rights […]| MPAI community
1 Introduction 2 How to submit a response 3 Evaluation Criteria and Procedure 4 Expected development timeline 5 References Annex 1: Information Form Annex 2: Evaluation Sheet Annex 3: Requirements check list Annex 4: Mandatory text in responses 1 Introduction Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI[1]) is an international non-for-profit organisation with the mission to develop […]| MPAI community
Introduction During the last decade, Neural Networks have been deployed in an increasing variety of domains and the production of Neural Networks became costly, in terms of both resources (GPUs, CPUs, memory) and time. Moreover, users of Neural Network based services more and more express their needs for a certified service quality. NN Traceability offers […]| MPAI community
Geneva, Switzerland – 11th June 2025. 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 57th General Assembly (MPAI-57) with the publication of the Call for Neural Network Traceability Technologies and three supporting documents. The Call for Technologies: […]| MPAI community
Abstract In five years, MPAI – Moving Picture, Audio, and Data Coding by Artificial Intelligence, the international, unaffiliated, not-for-profit association developing standards for AI-based data coding – has been carrying out its mission, making its results widely known and its status recognised. However, not all are clear why MPAI was established, which are its distinctive […] The post Soon MPAI will be five appeared first on MPAI community.| MPAI community
Term Definition Associate Member A Member who does not have the right to vote Call for Technologies (CfT) An open request directed to any party interested in proposing for standardisation by MPAI technology(ies) that satisfy certain requirements. Essential Patent A patent which, without a valid license, is infringed by a compliant implementation of the Technical […]| MPAI community
This page is an introduction to the MPAI Statutes (pdf, html). Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) is an international, unaffiliated, not-for-profit association whose seat is in Geneva. The Members can be Principal Members with the right to vote and Associate Members without the right to vote but with the right to […]| MPAI community
1 Coverage This Framework Licence applies to Technical Specification: Compression and Understanding of Financial Data (MPAI-CUI) V2.0 (in the following “Standard”) as adopted by Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI). Standard may include technologies that have been standardised by other MPAI Technical Specifications. Use of the Essential IPR of the Standard […]| MPAI community
Abstract This document requests parties having rights to technologies satisfying the Use Cases and Functional Requirements [3] and the Framework Licence [4] of the planned Technical Specification: Compression and Understanding of Industrial Data (MPAI-CUI) V2.0 to respond to this Call for Technologies preferably using the Template for Responses [5]. The goal of MPAI-CUI V2.0 is […]| MPAI community
