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MPAI extends 3 and develops 2 new standards

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Geneva, Switzerland – 26 October 2022. Today the international, non-profit, unaffiliated Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) standards developing organisation has concluded its 25th General Assembly (MPAI-25). Among the outcomes is the decision, based on substantial inputs received in response to its Calls for Technologies, to extend three of its existing standards and to initiate the development of two new standards. The three standards being extended are: AI Framework (MPAI-AIF). AIF is an MPAI-standardised environment where…

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MPAI, third year and counting

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Moving Picture, Audio, and Data Coding by Artificial Intelligence – MPAI – was established two years ago, on 30 September 2020.. It is a good time to review what it has done, what it plans on doing, and how the machine driving the organisation works. These are the main results of the 2nd year of MPAI activity (the activities of the first year can be found here). Approved the MPAI-AIF (AI Framework) and MPAI-CAE (Context-based Audio Enhancement) Technical Specifications. Approved…

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MPAI appoints MPAI Store, incorporated as Company Limited by Guarantee, as the MPAI Store in the MPAI Ecosystem

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Geneva, Switzerland – 30 September 2022. Today the international, non-profit, unaffiliated Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) standards developing organisation has concluded its 24th General Assembly (MPAI-24). Among the outcomes is the appointment of MPAI Store, a company limited by guarantee incorporated in Scotland, as the “MPAI Store” referenced to by the Governance of the MPAI Ecosystem standard (MPAI-GME). The tasks of the MPAI Store are critical for the operation of the MPAI Ecosystem. Some of…

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Imperceptibility, Robustness, and Computational Cost in Neural Network Watermarking

Introduction Research efforts, specific skills, training and processing can cumulatively bring the development costs of a neural network anywhere from a few thousand to a few hundreds of thousand dollars. Therefore, the AI industry needs a technology to ensure traceability and integrity not only of a neural network but also of the content generated by it (so-called inference). Faced with a similar problem, the digital content production and distribution industry has considered watermarking as a tool to insert a payload…

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Avatars and the MPAI-MMC V2 Call for Technologies

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The goal of the MPAI Multimodal Conversation (MPAI-MMC) standard is to enable forms of human-machine conversation that emulate the human-human one in completeness and intensity. While this is clearly a long-term goal, MPAI is focusing on standards providing frameworks which break down – where possible – complex AI functions to facilitate the formation of a component market where solution aggregators can find AI Modules (called AIM) to build AI Workflows (called AIW) corresponding to standard use cases. The AI Framework…

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The MPAI 2022 Calls for Technologies – Part 3 (Neural Network Watermarking)

Research, personnel, training and processing can bring the development costs of a neural network anywhere from a few thousand to a few hundreds of thousand dollars. Therefore, the AI industry needs a technology to ensure traceability and integrity not only of a neural network, but also of the content generated by it (so-called inference). The content industry facing a  similar problem, has used watermarking to imperceptibly and persistently insert a payload carrying, e.g., owner ID, timestamp, etc. to signal the ownership of a content item. Watermarking…

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