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Dart (programming language) Dart is a programming language designed by Lars Bak and Kasper Lund and developed by Google. [8] It can be used to develop web and mobile apps as well as server and desktop applications . Dart is an object-oriented, class-based, garbage-collected language with C -style syntax. [9]
Flutter. Flutter is an open-source UI software development kit created by Google. It can be used to develop cross platform applications from a single codebase for the web, [4] Fuchsia, Android, iOS, Linux, macOS, and Windows. [5] First described in 2015, [6] [7] Flutter was released in May 2017.
The Chromium Embedded Framework ( CEF) is an open-source software framework for embedding a Chromium web browser within another application. This enables developers to add web browsing functionality to their application, as well as the ability to use HTML, CSS, and JavaScript to create the application's user interface (or just portions of it).
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Learn how to update your settings to make AOL Mail look and feel exactly how you need it. Netscape Internet Service (ISP) ยท Jan 30, 2024. Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.
H5P is a free and open-source content collaboration framework based on JavaScript. H5P is an abbreviation for HTML5 Package, and aims to make it easy for everyone to create, share and reuse interactive HTML5 content. [2] [3] Interactive videos, interactive presentations, quizzes, interactive timelines and more [4] have been developed and shared ...
MIT App Inventor (App Inventor or MIT AI2) is a high-level block-based visual programming language, originally built by Google and now maintained by the Massachusetts Institute of Technology. It allows newcomers to create computer applications for two operating systems: Android and iOS, which, as of 25 September 2023, is in beta testing.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...