When Iowa’s snow piles up, TensorFlow can keep roads safe

Iowa may be heaven, but it’s a snowy one. With an average of around 33 inches of snow every year, keeping roads open and safe is an important challenge. Car accidents tend to spike during the winter months each year in Iowa, as do costly delays. And dangerous commutes can mean hazards for people and commerce alike: the state is one of the country’s largest producers of agricultural output, and much of that is moved on roads.

To improve road safety and efficiency, the Iowa Department of Transportation has teamed up with researchers at Iowa State University to use machine learning, including our TensorFlow framework, to provide insights into traffic behavior. Iowa State’s technology helps analyze the visual data gathered from stationary cameras and cameras mounted on snow plows. They also capture traffic information using radar detectors. Machine learning transforms that data into conclusions about road conditions, like identifying congestion and getting first responders to the scenes of accidents faster..

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When Iowa’s snow piles up, TensorFlow can keep roads safe

Iowa may be heaven, but it’s a snowy one. With an average of around 33 inches of snow every year, keeping roads open and safe is an important challenge. Car accidents tend to spike during the winter months each year in Iowa, as do costly delays. And dangerous commutes can mean hazards for people and commerce alike: the state is one of the country’s largest producers of agricultural output, and much of that is moved on roads.

To improve road safety and efficiency, the Iowa Department of Transportation has teamed up with researchers at Iowa State University to use machine learning, including our TensorFlow framework, to provide insights into traffic behavior. Iowa State’s technology helps analyze the visual data gathered from stationary cameras and cameras mounted on snow plows. They also capture traffic information using radar detectors. Machine learning transforms that data into conclusions about road conditions, like identifying congestion and getting first responders to the scenes of accidents faster..

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Engaging policy stakeholders on issues in AI governance

AI has become part of the fabric of modern life, with applications in sectors ranging from agriculture to retail to health to education. We believe that AI, used appropriately, can deliver great benefit for economies and society, and help people to make decisions that are fairer, safer, and more inclusive and informed.

As with other technologies, there are new policy questions that arise with the use of AI, and governments and civil society groups worldwide have a key role to play in the AI governance discussion. In a white paper we’re publishing today, we outline five areas where government can work with civil society and AI practitioners to provide important guidance on responsible AI development and use: explainability standards, fairness appraisal, safety considerations, human-AI collaboration and liability frameworks.

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New features for service area businesses on Google My Business

Let’s say you’ve started your own business. The office you’ve leased is a 22 by 14 foot sprinter van. Every day, you find a new challenge in a new location across the areas you serve. You might be a plumber or an electrician or a landscaper, but above all you’re a business owner. We’ve recently made a few updates to Google My Business, so you can now share your service areas and information about your business via Google Maps and Search—so you can get found and tap into the many people searching for businesses like yours everyday.

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