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A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software.
CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function. Additionally, there is also a full LaTeX editor, with collaboration support, a preview of the resulting document and also support for SageTeX .
NotebookLM (Google NotebookLM) is a research and note-taking online tool developed by Google Labs that uses artificial intelligence (AI), specifically Google Gemini, to assist users in interacting with their documents. It can generate summaries, explanations, and answers based on content uploaded by users.
Google Notebook was a free online application offered by Google that allowed users to save and organize clips of information while conducting research online. The browser-based tool permitted a user to write notes, clip text and images, and save links from pages during a browser session.
Google ARDA project – stand for automated retinal disease assessment. It is an AI tool to help doctors detect retinal disease. Google Care Studio – tool for clinicians to search, browse and see highlights across a patient's broader electronic health record. Google Fit – health-tracking platform.
One thing the most visited websites have in common is that they are dynamic websites.Their development typically involves server-side coding, client-side coding and database technology.
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.
JAX is a machine learning framework for transforming numerical functions. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).