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An overview of Connected Autonomous Vehicle (MPAI-CAV) – Architecture

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Connected Autonomous Vehicles (CAV) promise to replace human errors with a lower machine errors rate, give more time to human brains for rewarding activities, optimise use of vehicles, infrastructure, traffic management, reduce congestion and pollution, and help elderly and disabled people have a better life. MPAI thinks that standards can accelerate the coming of CAVs as an established reality. The first MPAI standard is “Connected Autonomous Vehicles – Architecture”. It specifies a CAV Reference Model broken down into Subsystems for…

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What is the XR Venues – Live Theatrical Stage Performance Call for Technologies about?

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XR Venues is an MPAI project addressing contexts enabled by Extended Reality (XR) – any combination of Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) technologies – and enhanced by Artificial Intelligence (AI) technologies. The word “Venue” is used as a synonym for Real and Virtual Environments. MPAI thinks that the Live Theatrical Stage Performance use case fits well with the current trend that sees theatrical stage performances such as Broadway theatre, musicals, dramas, operas, and other performing…

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An overview of MPAI Metaverse Model (MPAI-MMM) – Architecture

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There is no common definition of the word metaverse. MPAI characterises the word Metaverse Instance (M-Instance) as a system that captures data from the real world (in the following, called Universe), processes it, and combines it with internally generated data to create virtual environments that users can interact with. Examples of M-Instances are plentiful. So far, their developers have made technology decisions that best responded to their needs, often without considering the choices that other developers might have made for…

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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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The MPAI Standards Portfolio

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1          Introduction Established in September 2020 with its mission defined by the MPAI Statutes as promotion of efficient data use by developing AI-enabled data coding standards and bridging the gap between MPAI standards and their practical use through Intellectual Property Rights Guidelines, MPAI has developed nine Technical Specifications. Purpose of this document is to provide a short overview of the nine Technical Specifications. 1       Introduction 2       AI Framework (MPAI-AIF) 2.1        Version 1 2.2        Version 2 3       Avatar Representation and Animation…

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MPAI reaches a milestone: five Standards and three Calls for Technologies

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The MPAI mission as defined by the MPAI Statutes is the promotion of efficient data use by developing AI-enabled data coding standards and bridging the gap between MPAI standards and their practical use through the development of Intellectual Property Rights Guidelines. Establishing and putting in motion an organisation with this ambitious mission was a challenge, however, in its first 15 months MPAI published five standards, on audio, speech, finance, execution of AI apps, and ecosystem governance. In the following year,…

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