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Google's Project Green Light is utilizing travel data from Maps users to optimize traffic flow at specific intersections in various cities worldwide. The AI-driven effort aims to improve traffic efficiency by analyzing driver behavior and making recommendations for adjusting signal timing. The goal is to expand the project to hundreds of cities in the coming years.
Google's Project Green Light addresses the challenge of controlling traffic signal scheduling, which is traditionally difficult and costly for cities due to limited data on traffic patterns. By leveraging Android's detailed location data, Google can provide accurate recommendations for adjusting traffic light timing without the need for additional hardware or software installations. The system has already been implemented in over a dozen cities globally, resulting in fewer stops for drivers and smoother traffic flow.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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