MPAI Publishes 2 Draft Standards and 1 Document for Comments

Geneva, Switzerland, August 28, 2021 --(PR.com)-- At its 11th General Assembly, the international, unaffili­ated Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) standards devel­oping organisation has published 2 draft standards and 1 foundational document for comment.

Comments are requested, by 20 September, prior to final approval at MPAI’s next General Assem­bly (MPAI-12) on:

Compression and Understanding of Industrial Data (MPAI-CUI https://mpai.community/standards/mpai-cui/). AI-based Com­pany Perfor­m­ance Prediction enables a user to assess a company’s default probability, organisati­onal adequacy and business discontinuity probability in a given prediction horizon.

Multimodal Conversation (MPAI-MMC https://mpai.community/standards/mpai-mmc/). Conversation with Emotion supports audio-visual conversation with a machine impersonated by a synthetic voice and an animated face; Multimodal Question Answering supports request for information about a dis­played object; Unidirectional, Bidirectional and One-to-Many Speech Translation support conversational translation using a synthetic voice that preser­ves the speech features of the human.

Governance of the MPAI Ecosystem (https://mpai.community/standards/governance/) lays down the rules governing an ecosystem of implem­enters and users of secure and performance-guar­an­teed MPAI standard implemen­tations acces­sible through the not-for-profit MPAI Store.

MPAI is currently working on 10 standards projects, some which are:

Context-based Audio Enhancement (MPAI-CAE https://mpai.community/standards/mpai-cae/): adding a desired emotion to an emotion-less speech segment, preserving old audio tapes, restoring audio segments, improving the audio confer­ence experience and removing unwanted sounds to a user on the go.

AI Framework (MPAI-AIF https://mpai.community/standards/mpai-aif/) enables creation and autom­ation of mixed Machine Learning, Artificial Intelligence, Data Processing and inference workflows, implemented as software, hardware, or hybrid software and hardware.

Server-based Predictive Multiplayer Gaming (MPAI-SPG https://mpai.community/standards/mpai-spg/) uses AI to train a network that com­pensates data losses and detects false data in online multiplayer gaming.

AI-Enhanced Video Coding (MPAI-EVC https://mpai.community/standards/mpai-evc/) uses AI to improve the performance of existing video coding tools.

Connected Autonomous Vehicles (MPAI-CAV https://mpai.community/standards/mpai-cav/) uses AI in key features: Human-CAV Interac­tion, Environ­ment Sensing, Autonomous Motion, CAV to Everything and Motion Actuation.

Mixed Reality Collaborative Spaces (MPAI-MCS https://mpai.community/standards/mpai-mcs/) applies Artificial Intelligence to create mixed-reality spaces populated by streamed objects such as avatars representing individuals, other objects and sensor data, and their descriptions for meetings, education, biomedicine, science, gaming and manufacturing.

MPAI develops data coding standards for applications that have AI as the core enabling technology. Any legal entity who supports the MPAI mission may join MPAI (https://mpai.community/how-to-join/join/) if it is able to contribute to the development of standards for the efficient use of data.

Visit the MPAI web site (https://mpai.community/) and contact the MPAI secretariat (secretariat@mpai.community) for specific information.