MPAI request Community Comments on its Neural Network Watermarking Technologies V1.0 standard

Geneva, Switzerland - 18th February 2026. 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 65th General Assembly (MPAI-65) publishing the Neural Network Watermarking - Technologies (NNW-TEC) V1.0 standard with a request for Community Comments.

Technical Specification: Neural Network Watermarking - Technologies (NNW-TEC) V1.0 (https://mpai.community/standards/mpai-nnw/tec/v1-0/) assesses specific NN Traceability technologies with respect to Imperceptibility, Robustness, and Computational Cost using the methodologies specified by the previously approved Neural Network Watermarking - Traceability (NNW-NNT) V1.1 (https://mpai.community/standards/mpai-nnw/nnt/v1-1/) standard. NNW-TEC offers the industry a path to obtain results of Imperceptibility, Robustness, and Computational Cost evaluations for specific Neural Network Traceability Technologies based on standard evaluation methods.

There are several ways to know more about the standards:
- Register at https://us06web.zoom.us/meeting/register/0EFCNGxAQZ2y_9z_6pIZug to attend the public online presentation of the standard on 10 March 2026 at 15 UTC.
- Read the Neural Network Watermarking - Technologies (NNW-TEC) V1.0 draft standard.
- Read a short Introduction to NNW-TEC V1.0 (https://mpai.community/standards/mpai-nnw/an-introduction-to-nnw-tec-v1-0/)

Comments of NNW-TEC V1.0 shall reach the secretariat by 13 April 2026.

MPAI-65 has also decided to publish the Company Performance Prediction (CUI-CPP) V2.0 standard in final form.
MPAI is continuing the development of its work plan that involves the following activities:

1.AI Framework https://mpai.community/standards/mpai-aif/ (MPAI-AIF): extending the MPAI-AIF specification to enable a client to access a remote MPAI-AIF Controller and an AI Module to communicate data to another AIM with associate metadata.
2.AI for Health https://mpai.community/standards/mpai-aih/ (AIH-HSP): developing the specification of a system receiving and processing licenses AI Health Data and enabling clients to improve health processing models via federated learning.
3.Context-based Audio Enhancement https://mpai.community/standards/mpai-cae/ (CAE-USC): developing the Audio Six Degrees of Freedom (CAE-6DF) and the Audio Object Rendering (CAE-AOR) specifications.
4.Connected Autonomous Vehicle https://mpai.community/standards/mpai-cav/ (CAV-TEC): developing a new version of the flagship specification CAV-TEC with security support.
5.Compression and Understanding of Industrial Data https://mpai.community/standards/mpai-cui/ (CUI-CPP): expecting comments on the Company Performance Prediction V2.0 specification.
6.End-to-End Video Coding https://mpai.community/standards/mpai-eev/ (MPAI-EEV): exploring the potential of AI-based End-to-End Video coding in compressing video sequences.
7.AI-Enhanced Video Coding https://mpai.community/standards/mpai-evc/ (MPAI-EVC): exploring use of AI to enhance the video codec performance.
8.Governance of the MPAI Ecosystem https://mpai.community/standards/mpai-gme/ (MPAI-GME): operating the MPAI Ecosystem per the MPAI-GME Specification.
9.Human and Machine Communication https://mpai.community/standards/mpai-hmc/ (MPAI-HMC): exploring the use of AI in human-to-machine and machine-to-machine communication.
10.Multimodal Conversation https://mpai.community/standards/mpai-mmc/ (MPAI-MMC): exploring the impact of the PGM-AUA Call for Technologies on human-to-machine and machine-to-machine conversation.
11.MPAI Metaverse Model https://mpai.community/standards/mpai-mmm/ (MMM-TEC): developing security-protected protocols in the MMM-TEC specification.
12.Neural Network Watermarking https://mpai.community/standards/mpai-nnw/ (NNW-TEC): Developing the new Neural Network Watermarking (MPAI-NNW) - Technologies (NNW-TEC) including assessments of Neural Network Traceability Technologies.
13.Object and Scene Description https://mpai.community/standards/mpai-osd/ (MPAI-OSD): discussing the impact of MPAI standards planned or under development on MPAI-OSD V1.4.
14.Portable Avatar Format https://mpai.community/standards/mpai-paf/v1-2/ (MPAI-PAF): discussing the impact of MPAI standards planned or under development on MPAI-PAF V1.5.
15.AI Module Profiles https://mpai.community/standards/mpai-prf/ (MPAI-PRF): extending the scope of the current version of AI Module Profiles.
16.Server-based Predictive Multiplayer Gaming https://mpai.community/standards/mpai-spg/ (MPAI-SPG): exploring new standard opportunities in the domain.
17.Data Types, Formats, and Attributes https://mpai.community/standards/mpai-tfa/ (MPAI-TFA) extending the standard to data types used by MPAI standards that are planned or under development.
18.XR Venues https://mpai.community/standards/mpai-xrv/ (XRV-LTP): developing the standard for improved execution of Live Theatrical Performances using AI.

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/)..New members joining before 31st December 2025 have their membership extended until 31st December 2026.

Please visit the MPAI website (https://mpai.community), contact the MPAI secretariat (secretariat@mpai.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).
- Bluesky (https://bsky.app/profile/mpaicommunity.bsky.social)

MPAI, c/o Me Olivier Brunisholz
5 Cours des Bastions
CH-1205 Geneva, Switzerland.

Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) is an international non-profit organisation with the mission is to develop Artificial Intelligence (AI) enabled digital data compression specifications, with clear Intellectual Property Rights (IPR) licensing frameworks,
1. Of Moving Picture, Audio and Data Coding, especially using new technologies such as Artificial Intelligence, and
2. That facilitate integration of Moving Picture, Audio and Data coding components into systems.

This release was published on openPR.