- MPAI develops standards, unique means to accelerate exploitation of technology in products.
- MPAI standards are Artificial Intelligence-enabled and AI has the highest potential to yield high-performance solutions to data coding.
- MPEG has shown that standards should be developed by applying technology across the board and MPAI is the only standards organisation doing so for AI-based data coding.
- MPEG has shown that industry is well served by increasing accessibility to standards and MPAI makes available Framework Licences to accelerate access to its standards.
- MPAI has solid foundations: it has experience and a rigorous standards-development process.
- MPAI addresses high-profile data coding areas: AI framework, audio enhancement, human-machine conversation, prediction of company performance, video coding, online gaming, autonomous vehicles and more.
- MPAI is productive: in 15 months it has developed 4 standards (governance, human-machine conversation, company performance prediction and AI Framework), by end of year it will complete another standard (audio enhancement) and has 7 more standards in the pipeline.
- MPAI standards are viral: products conforming to MPAI standards are already present on the market.
- MPAI develops methods to assess the level of conformance and reliability of standard implementations, including methods ensuring that implementations are bias-free.
- MPAI plans on establishing the MPAI Store, a not-for-profit commercial organisation with the task to test implementations for security and conformance, and verify they are bias-free.
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- Home
- About
- Standards
- News
- Community
- Join MPAI
- Participate
- A standards body for Artificial Intelligence
- Presentations
- MPAI tweet carousels
- MPAI-Anniversary #1
- MPAI-Anniversary #2
- MPAI talks to industry
- MPAI interviews
- The MPAI Book 2021
- Preface
- Introduction
- Data and data processing
- AI potential and drawbacks
- Machine Learning and Neural Networks
- Speaking humans and machines
- Visual humans and machines
- Humans conversing with machines
- Audio for humans
- Video for humans and machines
- Data for machines
- Towards a responsible AI
- Divide and conquer
- Some MPAI data coding standards
- Structure of MPAI standards
- Some technologies from the MPAI repository
- MPAI mission and organisation
- The governance of the MPAI ecosystem
- A renewed life for the patent system
- Plans for the future
- Conclusions
- References
- Annex 1 – List of acronyms