A foundational element of the MPAI architecture is the fact that monolithic AI applications have some characteristics that make them undesirable. For instance, they are single-use, i.e., it is hard to reuse technologies used by the application in another application and they are obscure, i.e., it is hard to understand why a machine has produced a certain output when subjected to a certain input. The first characteristic means that it is hard to make complex applications because an implementer must…

The 19th of July 2022 was the second anniversary of the launch of the MPAI idea. After two years of existence, it is useful to have a summary of MPAI’s vision, mission, processes, achievements, plans, and the sister organisation MPAI Store. Those in a hurry can have a look at a 2 min video about MPAI (YouTube – non-YouTube). Vision. The MPAI idea was driven by the impact digital media standards had on the media industry. While traditionally not very…

On 19 July 2020 – two years ago – the wild idea of an organisation dedicated to the development of AI-based data coding standards was made public. What has happened in these two years? MPAI was established in September 2020. Four Calls for Technologies were published in December 2020, and January-February 2021. The corresponding four Technical Specifications were published in September-November-December 2021: AI Framework (MPAI-AIF, a standard environment to execute AI workflows composed of AI Modules), Compression and Understanding of…

The MPAI project called Multimodal Conversation (MPAI-MMC), one of the earliest MPAI projects, has the ambitious goal of using AI to enable forms of conversation between humans and machines that emul­ate the conversation between humans in completeness and intensity. An important element to achieving this goal is the leveraging of all modalities used by a human when talking to another human: speech, but also text, face, and gesture. In the Conversation with Emotion use case standardised in Version 1 (V1)…