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深層学習のリペア技術の最新動向と実際 / DNN Repair Techniques for ...
Search
Fuyuki Ishikawa / 石川 冬樹
December 04, 2024
Technology
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1.1k
深層学習のリペア技術の最新動向と実際 / DNN Repair Techniques for AI Performance Alignment for Safety Requirements
第6回 AI/IoTシステム安全性シンポジウム における発表
JST-MIRAI eAIプロジェクト(Engineerable AIプロジェクト)における成果の紹介
Fuyuki Ishikawa / 石川 冬樹
December 04, 2024
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◼ ◼ ◼ ◼ An illustritive figure of CPS DNN
Controller output signal o Physical Plant System state y Control decision c input signal u c ℳ control input x ego car lead car safe distance relative distance aego environment AI-enabled CPS drel
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