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Active PAR P3109 Standard for Arithmetic Formats for Machine Learning Express Interest in this Project This standard defines a binary arithmetic and data format for machine learning-optimized domains. It also specifies the default handling of exceptions occurring in this arithmetic. This standard provides a consistent and flexible arithmetic framework optimized for Machine Learning Systems (MLSs) in hardware and/or software implementations to minimize the work required to make MLSs interoperable with each other as well as other dependent systems. This standard is aligned with the IEEE Std 754-2019 Standard for Floating-Point Arithmetic. Standard Committee C/MSC - Microprocessor Standards Committee Joint Sponsors CASS/DSA-SC Status Active PAR PAR Approval 2023-02-15 Working Group Details Society IEEE Computer Society Standard Committee C/MSC - Microprocessor Standards Committee Working Group AFM - Arithmetic Formats for Machine Learning IEEE Program Manager Malia Zaman Contact Malia Zaman Working Group Chair Kiran Gunnam Other Activities From This Working Group Active Projects Active Standards Superseded Standards Inactive-Withdrawn Standards Inactive-Reserved Standards Current projects that have been authorized by the IEEE SA Standards Board to develop a standard. No Active Projects Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle. No Active Standards These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata. No Superseded Standards These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group. No Inactive-Withdrawn Standards These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years. 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