Thirty-six years ago today marked the birth of the MPEG-Audio group. The initial two characters of MPEG - M (oving) and the P (icture) - leave no doubt about the original public intentions in setting up the MPEG group which had met for the first time in Ottawa, ON on 10-12 May. My real intentions, however, were very clear in my mind since the very beginning (actually, they dated back several years before): an audio-visual system had to be specified…
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,…
At its 43rd General Assembly of 2024 April17, MPAI approved the publication of the draft AI Module Profiles (MPAI-PRF) standard with a request for Community Comments. The scope of MPAI-PRF is to provide a means to identify AI Modules with the same functionality but with different features. First two words about AIMs. MPAI develops application-oriented standards for applications that MPAI calls AI Workflows (AIW) that can be broken down into components called AI Modules. AIWs are specified by what they…
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…
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…
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…
