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Major cloud computing providers have adopted the Jupyter Notebook or derivative tools as a frontend interface for cloud users. Examples include Amazon SageMaker Notebooks, [9] Google's Colab, [10] [11] and Microsoft's Azure Notebook. [12] Visual Studio Code supports local development of Jupyter notebooks. As of July 2022, the Jupyter extension ...
Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
In July 2011, Google announced that it was discontinuing Google Labs. [3] Although many of the experiments have been discontinued, a few have moved to the main search pages or have been integrated into other products. Google still has many links to its defunct "Labs" tools in Google blogs that are readily accessible through a Google search.
This expansion followed its initial release nearly two months earlier, when it was made available to enterprises via Google Cloud and Google Workspace. Initially offered on a limited basis, NotebookLM Plus now provides enhanced features designed to improve research and organization.
Google Compute Engine Unit (GCEU), which is pronounced as GQ, is an abstraction of computing resources. According to Google, 2.75 GCEUs represent the minimum power of one logical core (a hardware hyper-thread) based on the Sandy Bridge platform. The GCEU was created by Anthony F. Voellm out of a need to compare the performance of virtual ...
A common use of Binder is for sharing a Jupyter notebook in a way that the recipient can immediately execute in a browser. [3] The Binder project maintains core libraries and documentation for running Binder services, which make those projects available, as well as BinderHub, a tool for deploying such services via common cloud computing ...
PCL (Point Cloud Library) is an open-source framework for n-dimensional point clouds and 3D geometry processing. It includes several variants of the ICP algorithm. [9] Open source C++ implementations of the ICP algorithm are available in VTK, ITK and Open3D libraries.
The PCD (Point Cloud Data) is a file format for storing 3D point cloud data. It was created because existing formats did not support some of the features provided by the PCL library. It was created because existing formats did not support some of the features provided by the PCL library.