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Is it possible to mitigate data loss effects in online gaming?

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The 52nd MPAI General Assembly (MPAI-52) has approved Server-based Predictive Multiplayer Gaming (MPAI-SPG) - Mitigation of Data Loss effects (SPG-MDL) V1.0. It is a Technical Report that provides a methodology to predict the game state of an online gaming server when some controller data is lost. The Prediction is obtained by applying Machine Learning algorithms based on historical data of the online game. An online Multiplayer Game is based on a server. When this maintains consistency among all clients’ game…

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MPAI calls for a new generation of company performance prediction technologies

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The 51st MPAI General Assembly has decided to develop a new version V2.0 of the Compression and Understanding of Financial Data (MPAI-CUI) – Company Performance Prediction (CUI-CPP) and issued a Call for Technologies to acquire relevant technologies. Register to attend online event where the Call will be presented on 2025/01/08 T15:00 UTC. Compression and Understanding of Industrial Data (MPAI-CUI) was one of the first (2021) MPAI standards. The MPAI-CUI V1.0 Company Performance Prediction Use Case was based on the notion…

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MPAI Metaverse Model: what is it? A look at the table of contents

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I think that the publication of the MPAI Metaverse Model (MPAI-MMM) standard last week is an important step in making the metaverse a viable proposition because it provides practical means for an implementer to develop a metaverse instance (M-Instance) that interoperates with another similarly developed M-Instance. This post has the moderate ambition of just describing the high-level content of the standard looking at the Table of Contents. Foreword obviously deals with general matters, such as the AI Framework (MPAI-AIF) standard…

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A new type of “data about data”

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AI Modules (AIM) organised in AI Workflows (AIW) executed in the AI Framework enabling initialisation, dynamic configuration, and control of AIWs are a key element of the MPAI approach to AI-based Data Coding standards as depicted in Figure 1. AIMs communicate to other AIMs in the AIW the Data obtained by executing specific functions. The effectiveness of the functions performed by the AIMs is improved if they know more about the capabilities of the AIMs they are connected to and the Data they…

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MPAI propounds the development of Collaborative Immersive Laboratories (CIL)

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Collaborative Immersive Laboratory (XRV-CIL) is project designed to enable researchers in network-connected physical venues equipped with devices that create an immersive virtual environment to manipulate and visualise laboratory data with other researchers located at different places and having a simultaneous immersive experience. XR Venue (MPAI-XRV) is an MPAI project addressing a multiplicity of use cases enabled by Extended Reality (XR) and enhanced by Artificial Intelligence (AI) technologies. MPAI-XRV specifies design methods for AI Workflows and AI Modules that automate complex…

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Introduction to MPAI’s Human and Machine Communication (MPAI-HMC) V1.1

One of the new Technical Specifications published by MPAI is Version 1.1 of Human and Machine Communication (MPAI-HMC). The title is definitely not reductive – the scope is not intended to be narrow. Indeed, Human and Machine Communication is a vast area where new technologies are constantly introduced – more so today than before, thanks to the rapid progress of Artificial Intelligence. It is also a vast business area where new products, services, and applications are launched by the day,…

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