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The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, [1] Places API [2] or Google Earth API. [3]
Google figured it would be a useful tool to open up to web developers. It officially launched on December 6, 2007. Currently, line, bar, pie, and radar charts, as well as Venn diagrams, scatter plots, sparklines, maps, google-o-meters, and QR codes are supported. Google deprecated the API in 2012 [1] [2] with
Additionally, Google Colab is integrating Gemini 2.0 to generate data science notebooks from natural language. Gemini 2.0 was available through the Gemini chat interface for all users as "Gemini 2.0 Flash experimental". On January 30, 2025, Google released Gemini 2.0 Flash as the new default model, with Gemini 1.5 Flash still available for usage.
The Open Location Code (OLC) is a geocode based on a system of regular grids for identifying an area anywhere on the Earth. [1] It was developed at Google's Zürich engineering office, [2] and released late October 2014. [3] Location codes created by the OLC system are referred to as "plus codes".
The Google Maps API was free for commercial use, provided that the site on which it is being used is publicly accessible and did not charge for access, and was not generating more than 25,000 map accesses a day. [135] [136] Sites that did not meet these requirements could purchase the Google Maps API for Business. [137]
Portail:Google/Suivi; Gemini (chatbot) Google Gemini; Usage on he.wikipedia.org ג'מיני (צ'טבוט) Gemini (מודל שפה) Usage on hi.wikipedia.org जेमिनी (चैटबॉट) Usage on hr.wikipedia.org Google Gemini; Usage on hy.wikipedia.org Բարդ (չաթբոտ) Usage on id.wikipedia.org Gemini (bot percakapan)
Google Assistant: is a virtual assistant software application since 2023 developed by Google AI. Serving cloud-based TPUs (tensor processing units) in order to develop machine learning software. [9] [10] The TPU research cloud provides free access to a cluster of cloud TPUs to researchers engaged in open-source machine learning research. [11]
The location is returned with a given accuracy depending on the best location information source available. The result of W3C Geolocation API will usually give 4 location properties, including latitude and longitude (coordinates), altitude (height), and accuracy [of the position gathered], which all depend on the location sources. [citation needed]
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