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公开(公告)号:US20250124356A1
公开(公告)日:2025-04-17
申请号:US19000568
申请日:2024-12-23
Applicant: Apple Inc.
Inventor: Thomas FOGAL , Adam NEMET , Gerolf F. HOFLEHNER
IPC: G06N20/00 , G06F8/41 , G06F16/245
Abstract: The subject technology provides a framework for executable machine learning models that are executable in a zero-runtime operating environment. This allows the machine learning models to be deployed in limited memory environments such as embedded domains. A machine learning compiler is provided to generate the executable machine learning models.
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公开(公告)号:US20210398015A1
公开(公告)日:2021-12-23
申请号:US17094772
申请日:2020-11-10
Applicant: Apple Inc.
Inventor: Thomas FOGAL , Adam NEMET , Gerolf F. HOFLEHNER
Abstract: The subject technology provides a framework for executable machine learning models that are executable in a zero-runtime operating environment. This allows the machine learning models to be deployed in limited memory environments such as embedded domains. A machine learning compiler is provided to generate the executable machine learning models.
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