Abstract: In-network machine learning (ML) offers a cutting-edge approach for promptly detecting malicious traffic. Existing methods often rely on one-size-fits-all ML models that fail to adapt to ...
Abstract: Direct data-driven control has emerged as a powerful alternative to traditional state-space model-based methods by directly learning control policies from data. Nevertheless, ensuring that ...
From 18–21 May, WBCSD joined leaders from business, finance and government at Ecosperity Week 2026 in Singapore. As discussions focused on how Asia can move from ambition to implementation, WBCSD ...
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