Research, standards and thoughts for the digital world

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An overview of AI Framework (MPAI-AIF)

From its early days, MPAI realised that AI-based data coding standards could facilitate AI explainability if monolithic AI applications could be broken down to individual components with identified functionality processing and producing data with semantics known as far as possible. An important side effect of this approach was identified in the possibility for developers to provide components with standard interfaces and potentially better performance than that provided by other developers. Version 1 of AI Framework (MPAI-AIF) published in September 2021…

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What is the AI for Health Call for Technologies about?

AI for Health (MPAI-AIH) is a project addressing interfaces and data types involved in an AIH Platform where End Users acquire and process health data on their handsets equipped with an AI Framework executing AI Workflows enabled by models distributed by the AIH Back end and installed in their handsets (AIH Front ends). Figure 1 depicts the AIH Front end. Figure 1 – The AIH Front-End End Users upload their processed health data with associated Smart Contracts granting the AIH…

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An overview of Multimodal Conversation V2

The goal of the Multimodal Conversation (MPAI-MMC) standard is to provide technologies that enable a human-machine conversation that is more human-like, richer in content, and able to emulate human-human conversation in completeness and intensity. By learning from human interaction, machines can improve their “conversational” capabilities in the two main phases of conversation: understanding of the meaning of an element and the generation of a pertinent response. Multimodal Conversation Version 2 achieves this goal by providing, among other technologies, a new…

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An Introduction to the MPAI Metaverse Model Architecture – Part I

This is the first of a series of posts that illustrate Call for Technologies: MPAI Metaverse Model – Architecture , a document inviting interested parties to submit comments to and proposals for Use Cases and Functional Requirements: MPAI Metaverse Model – Architecture . "MPAI Metaverse Model Architecture” is the first Metaverse Architecture standard ever attempted by a standards body. Before starting, let's clarify why is MPAI, a standards body developing standards for AI-based data coding, engaged in the “metaverse”? The…

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A standards body for AI-based data coding

Data is information converted to bits. To know what the bits mean, however, we must know the format, i.e., how information is represented or coded in bits. Data with an unknown format has little value and with a known format has a value that is inversely proportional to the effort required to convert it to an understandable format. Therefore, to be “the New Oil of the Digital Economy”, data should have a standard format. The way international bodies are organised…

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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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