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  2. Heightmap - Wikipedia

    en.wikipedia.org/wiki/Heightmap

    Most modern 3D computer modelling programs are capable of using data from heightmaps in the form of bump, normal, or displacement maps to quickly and precisely create complex terrain and other surfaces. In the earliest games using software rendering, the elements often represented heights of columns of voxels rendered with ray casting.

  3. Project Sunroof - Wikipedia

    en.wikipedia.org/wiki/Project_Sunroof

    In September 2018, Google launched the Environmental Insights Explorer platform. [6] This tool was designed to make it easier for cities to measure their carbon footprint and take action in support of their climate goals. The tool provides estimates for a city's annual carbon emissions using detailed geospatial data derived from Google Maps. It ...

  4. New Google Maps technology brings stunning 3-D aerial shots ...

    www.aol.com/news/2016-06-30-new-google-maps...

    This week, Google Maps unveiled new mapping technology that includes 700 trillion pixels.The new rollout makes for some never-before-seen aerial shots of the planet we live on.

  5. 3D scanning - Wikipedia

    en.wikipedia.org/wiki/3D_scanning

    Making a 3D-model of a Viking belt buckle using a hand held VIUscan 3D laser scanner. 3D scanning is the process of analyzing a real-world object or environment to collect three dimensional data of its shape and possibly its appearance (e.g. color).

  6. Google Street View in Asia - Wikipedia

    en.wikipedia.org/wiki/Google_Street_View_in_Asia

    On September 3, 2011, Google started to collaborate with Tourism Malaysia to record Malaysian locations to be featured on its Google Map Street View. [6] On January 24, 2012, Google Street View was launched in South Korea starting with imagery from the country's capital, Seoul, as well as South Korea's second largest city, Busan. [7]

  7. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Language models with hundreds of billions of parameters, such as GPT-4 or PaLM, typically run on datacenter computers equipped with arrays of GPUs (such as NVIDIA's H100) or AI accelerator chips (such as Google's TPU). These very large models are typically accessed as cloud services over the Internet.

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