Understanding Sim-to-Real and Its Role in AI Implementation at EdgeTech+ 2026
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EdgeTech+ 2026, scheduled for November 18-20, will focus on the practical application of physical AI, emphasizing not only AI model performance but also the technologies required to implement AI in real machines. Key terms include 'Sim-to-Real', 'Digital Twin', 'On-device AI', and 'NPU', which relate to development, verification, and implementation.
Sim-to-Real refers to applying AI and control technologies developed in simulation environments to real machines. For instance, training a robot to walk in a virtual environment minimizes risks associated with using physical machines. However, discrepancies between the virtual and real worlds present challenges, making it crucial to reduce these differences for successful implementation.
Digital Twin technology recreates real-world equipment and environments in digital space, aiding in monitoring and validating operations. While closely related, Digital Twin and Sim-to-Real serve different purposes. No further timeline was disclosed at the time of publication regarding advancements in these technologies at the event.
Original report
「Sim-to-Real」って何？ AIを動かす実装技術…EdgeTech+ 2026【キーワード Vol. 3】
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