AI is moving to 'the edge'. Here’s why that matters
The Fin
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AI at the Edge: Privacy, Speed, and Energy Efficiency
The chapter delves into the shift of AI processing moving towards 'the edge' instead of the cloud, offering benefits like enhanced privacy, quicker response times, and novel functionalities. It touches on the distinction between training and inference in AI, showcasing examples like using chatbots and local inferencing for tasks and explores the challenges and importance of developing energy-efficient hardware and software for AI applications.
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