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The document provides instructions for a mouse mosquito game to practice using a mouse, as well as instructions to follow and complete a jigsaw puzzle, after which the person is congratulated for becoming an official Mouse Master.
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AI agents are reshaping logistics and supply chain operations by enabling automation, predictive insights, and real-time decision-making across key functions such as demand forecasting, inventory management, procurement, transportation, and warehouse operations. Powered by technologies like machine learning, NLP, computer vision, and robotic process automation, these agents deliver significant benefits including cost reduction, improved efficiency, greater visibility, and enhanced adaptability to market changes. While practical use cases show measurable gains in areas like dynamic routing and real-time inventory tracking, successful implementation requires careful integration with existing systems, quality data, and strategic scaling. Despite challenges such as data integration and change management, AI agents offer a strong competitive edge, with widespread industry adoption expected by 2025.How Qualcomm Is Powering AI-driven Multimedia at the Edge, a Presentation f...
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