Blogs

At Bing, AI is the foundation of our services and experiences. If you have ever been involved in any machine learning or AI project you know that frequently the key to success is good training data (a set of labeled examples that helps train the algorithm). Getting enough high-quality training data is often the most challenging piece of building an AI-based service. Typically, data labeled by humans is of high quality (has relatively few mistakes)...
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This week Microsoft is integrating its Streetside imagery for the United States in to iD, a popular web-based editor for contributing to OpenStreetMap. This is the same imagery currently visible on Bing Maps now embedded in to a popular editing application initially developed and now maintained by Mapbox.
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Today, LinkedIn introduced a new, helpful feature to their many users – “Your Commute.” LinkedIn has been working with the Bing Maps Platform team to add this valuable new feature to their mobile experience– see what the commute time is for a selected job posting.   
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Earlier this year, a Real Estate and Facilities (RE&F) team with a Microsoft subsidiary used Bing Maps Distance Matrix API, as the specialty tool to perform a quick commute analysis, to help determine the single best location for collocating all of their operations from multiple offices in a metro area to one office location. See how Bing Maps Distance Matrix API helps a customer solve a business problem related to real estate site planning.
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Cesium, a platform for developers to build web-based 3D map apps, uses Bing Maps imagery to help power their services. Started in 2011, when WebGL was first released, as a lightweight web-based 3D virtual globe engine for the aerospace and defense market, Cesium is now used across many markets from autonomous driving to drones to augmented reality.
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When US-based OnTerra Systems first set out to develop new route planning software for small to mid-sized fleets back in 2010, a significant array of Bing Maps advantages led OnTerra Systems management to use Bing Maps as the platform for RouteSavvy.
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At Bing we are continuously innovating to provide our users with ever better, more accurate, and more beautiful results. We routinely embrace modern advances in multiple domains such as natural language processing, computer vision and AI to provide the best experience at internet scale across billions of queries and images. Recently we talked about how semantic vectors helped improve Bing Web Search. Today we want to share how end-to-end...
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The Bing Maps Developer portal shipped a new feature allowing you to restrict access on your Bing Maps API keys to a set of domains that you specify. With this feature customers can define a strict set of Referrer values or IP address ranges that the key will be validated against.
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We're excited to announce several new features this May at Bing: expanded intelligent answer coverage, an updated hotel booking experience, in-depth weather results, a Bing homepage photo contest, and the new Bing Insiders site.
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We are excited to announce the private preview release of two new Bing Maps APIs – Bing Maps Location Recognition API and Bing Maps Autosuggest API. Bing Maps Location Recognition API and the Bing Maps Autosuggest API will be generally available this summer.
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