Standards – Procedures

In spite of its recent foundation, MPAI has already 9 lines of standard development. Please read the MPAI Work Plan for an overview and the MPAI Timeline. See a succint MPAI presentation.

Acronym Title Description
1. MPAI-AIF Artificial Intelligence Framework A standards enabling environments where mixed Machine Learning, Artificial Intelligence and traditional Data Processing, and inference workflows can be created and executed. It is a foundational MPAI standard on which other MPAI standards will be built. Read public MPAI-AIF documents.
2. MPAI-CAE Context-based Audio Enhancement A standard improving the user exper­ience for a variety of uses such as entertainment, communication, teleconferencing, gaming, post-production, restorat­ion etc. in a variety of contexts such as in the home, in the car, on-the-go, in the studio etc. Read public MPAI-CAE documents.
3. MPAI-MMC Multi-Modal Conversation A standard to enable human-machine conversations that emulate human-human conversation in completeness and intensity. Read public MPAI-MMC documents.
4. MPAI-CUI Compression and Understanding of Industrial data A standard to enable AI-based compression and extraction of key information from the flow of data produced by companies, currently finance and organisation data, and vertical risks such as seismic and cyber. Read public MPAI-CUI documents.
5. MPAI-SPG Server-based Predictive Multiplayer Gaming A standard to minimise the audio-visual and gameplay discontinuities caused by high latency or packet losses in  online real-time gaming. If information from a client is missing, the data collected from the clients involved in a particular game are fed to an AI-based system that predicts the moves of the client whose data are missing. Read public MPAI-SPG documents.
6. MPAI-EVC AI-Enhanced Video Coding A stan­dard that substantially en­hances the performance of a traditional video codec by improving or replacing traditional tools with AI-based tools. Read public MPAI-EVC documents.
7. MPAI-GSA Integrative Genomic/ Sensor Analysis A standards that understands and compresses the results of high-throughput experiments combining genomic/proteomic and other data, e.g. from video, motion, location, weather, medical sensors for applications ranging from personalised medicine to smart farming. Read public MPAI-GSA documents.
8. MPAI-OSD Visual Object and Scene Description Visual object and scene description is a collection of Use Cases sharing the goal of describe visual object and locate them in the space. Scene description includes the usual des­cription of objects and their attributes in a scene and the semantic description of the objects. Read Public MPAI-OSD documents.
9. MPAI-CAV Connected Autonomous Vehicles A standard addressing 3 components of a Connected Autonomous Vehicle: 1) Autonomous Motion, 2) Human-to-CAV interaction and 3) CAV-to-environment interaction. Read Public MPAI-CAV documents.
10. MPAI-MCS Mixed-Reality Collaborative Spaces A standard using Artificial intelligence throughout MCS systems for immersive presence, spatial maps (e.g. Lidar scans, inside-out tracking) rendering, and multiuser synchronization) etc. Read Public MPAI-MCS documents

Procedures – Standards

MPAI develops mostly AI-based standards following a well-defined sequence of steps (see Annex I of the Statutes for more details)

# Acr Name Description
1 UC Use cases Proposals of use cases, their description and merger of compatible use cases
2 FR Functional Requirements Identification of the functional requirements that the standard should satisfy
3 CR Commercial Requirements Development and approval of the Framework Licence of the standard
4 CT Call for Technologies Preparation and publication of a document calling for technologies supporting the requirements
5 SD Standard development Development of the standard in a specific Development Committee (DC)
6 MS MPAI standard The standard has been successfully completed and all Members have made the appropriate declarations

tthe MPAI General Assembly approves promotion of a project from a stage to the next stage.