This standard establishes the application programming interfaces (API) model of the computer vision systems and specifies the functional and technical…
United States
Privacy and security issues pose great challenges to the federated machine leaning (FML) community. A general view on privacy and…
This standard specifies an architecture and technical requirements for face recognition systems. A general technical architecture is defined. Functional, performance,…
IEEE 2941-2021
IEEE Standard for Artificial Intelligence (AI) Model Representation, Compression, Distribution, and Management
New IEEE Standard – Active. The AI development interface, AI model interoperable representation, coding format, and model encapsulated format for…
IEEE 2941.2-2023
IEEE Standard for Application Programming Interfaces (APIs) for Deep Learning (DL) Inference Engines
A set of application programming interfaces (APIs) that is aimed at breaking down the barriers between different deep learning (DL)…
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world.…
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…
NEMA NTCIP 9014
National Transportation Communications for ITS Protocol Infrastructure Standards Security Assessment (ISSA)
The National Transportation Communications for ITS Protocol (NTCIP) Standards have been developed to provide for the interoperability of ITS systems…
Access control policy verification ensures that there are no faults within the policy that leak or block access privileges. As…
IEEE 2941.1-2022
IEEE Standard for Operator Interfaces of Artificial Intelligence
New IEEE Standard – Active. A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in…
IEEE 2937-2022
IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems
New IEEE Standard – Active. Artificial intelligence (AI) computing differs from generic computing in terms of device formation, operators, and…
The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithms and improving the…
