MPAI Request Community Comments On Its Neural Network Watermarking Technologies V1.0 Standard

(MENAFN- Market Press Release) February 22, 2026 12:16 pm - MPAI 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

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 ( 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 ( 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 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 (

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 Framework (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 for Health (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
3 Audio Enhancement (CAE-USC): developing the Audio Six Degrees of Freedom (CAE-6DF) and the Audio Object Rendering (CAE-AOR)
4 Autonomous Vehicle (CAV-TEC): developing a new version of the flagship specification CAV-TEC with security
5 and Understanding of Industrial Data (CUI-CPP): expecting comments on the Company Performance Prediction V2.0
6 Video Coding (MPAI-EEV): exploring the potential of AI-based End-to-End Video coding in compressing video
7 Video Coding (MPAI-EVC): exploring use of AI to enhance the video codec performance.
8 of the MPAI Ecosystem (MPAI-GME): operating the MPAI Ecosystem per the MPAI-GME
9 and Machine Communication (MPAI-HMC): exploring the use of AI in human-to-machine and machine-to-machine
10 Conversation (MPAI-MMC): exploring the impact of the PGM-AUA Call for Technologies on human-to-machine and machine-to-machine
11 Metaverse Model (MMM-TEC): developing security-protected protocols in the MMM-TEC
12 Network Watermarking (NNW-TEC): Developing the new Neural Network Watermarking (MPAI-NNW) – Technologies (NNW-TEC) including assessments of Neural Network Traceability
13 and Scene Description (MPAI-OSD): discussing the impact of MPAI standards planned or under development on MPAI-OSD
14 Avatar Format (MPAI-PAF): discussing the impact of MPAI standards planned or under development on MPAI-PAF
15 Module Profiles (MPAI-PRF): extending the scope of the current version of AI Module
16 Predictive Multiplayer Gaming (MPAI-SPG): exploring new standard opportunities in the
17 Types, Formats, and Attributes (MPAI-TFA) extending the standard to data types used by MPAI standards that are planned or under
18 Venues (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 ( members joining before 31st December 2025 have their membership extended until 31st December 2026.

Please visit the MPAI website (), contact the MPAI secretariat (...unity) for specific information, subscribe to the MPAI Newsletter and follow MPAI on social media:

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- Youtube (@MPAIstandards).
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