Standards

Standards – Procedures

In spite of its recent foundation, MPAI has already 7 lines of standard development. Please read the MPAI Work Plan for an overview and the MPAI Timeline. See a succint MPAI powerpoint presentation

Acronym Title Description
1. MPAI-CAE Context-based Audio Enhancement A standard thatintends to use AI, to improve 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. See MPAI Application Note #1 Rev. 1 – MPAI-CAE
2. MPAI-GSA Integrative Genomic/ Sensor Analysis uses AI to understand and compress the results of high-throughput experiments combining genomic/proteomic and other data – for instance from video, motion, location, weather, medical sensors. The proposed use cases range from personalised medicine to smart farming. See N35 – MPAI Application Note #2 – MPAI-GSA
3. MPAI-EVC AI-Enhanced Video Coding A video compression stan­dard that substantially en­hances the performance of a traditional video codec by improving or replacing traditional tools with AI-based tools. See MPAI Application Note #3 – MPAI-EVC
4. MPAI-AIF Artificial Intelligence Framework A potential common standardisation area sharing the notion of a framework populated by AI-based or traditional Processing Modules. MPAI-CAE, MPAI-GSA and MPAI-MMC envisage the use of MPAI-AIF. See MPAI Application Note #4 – MPAI-AIF
5. MPAI-SPG Server-based Predictive Multiplayer Gaming A standard that aims to minimise the audio-visual and gameplay discontinuities caused by high latency or packet losses during an online real-time game. In case 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. MPAI Application Note #5 – MPAI-SPG
6. MPAI-MMC Multi-Modal Conversation A standard that aims to enable human-machine conversation that emulates human-human conversation in completeness and intensity by using AI. See MPAI Application Note #6 – MPAI-MMC
7. MPAI-CUI Compression and Understanding of Industrial data A standard that aims to enable AI-based filtering and extraction of key information from the flow of data that combine data produced by companies and data received from the outside (e.g., data on vertical risks as seismic, etc.)

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

A draft moves from a stage from the next stage by decision of the MPAI General Assembly.