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Managing data flow to boost cyber-physical system performance

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Researchers from North Carolina State University have developed a suite of algorithms to improve the performance of cyber-physical systems—from autonomous vehicles to smart power grids—by balancing each component’s need for data with how fast that data can be sent and received.

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New perception metric balances reaction time, accuracy

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Researchers at Carnegie Mellon University have developed a new metric for evaluating how well self-driving cars respond to changing road conditions and traffic, making it possible for the first time to compare perception systems for both accuracy and reaction time.

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