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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 , [ 3 ] Fuchsia , Android , iOS , Linux , macOS , and Windows . [ 4 ]
Examples of adaptive navigation can be achieved in many ways, similar to adaptive presentation. These can include examples such as providing links to help achieve a user's specific goal, giving reference on a page to where a user is, or altering the resources available to the user.
A simple example of tangible UI is the computer mouse: Dragging the mouse over a flat surface moves a pointer on the screen accordingly. There is a very clear relationship about the behaviors shown by a system with the movements of a mouse. Other examples include: Marble Answering Machine by Durrell Bishop (1992). [8]
Page's "UXA" (user/graphics interface) design team then emerged from the "Kennedy" project, tasked with "designing and developing a true UI framework that transforms Google's application software into a beautiful, mature, accessible and consistent platform for its users." Unspoken of in public, the small UXA unit was designed to ensure that ...
Since their design in 2014, some artists have created artwork using a generative adversarial network (GAN), which is a machine learning framework that allows two "algorithms" to compete with each other and iterate. [18] [19] It can be used to generate pictures that have visual effects similar to traditional fine art. The essential idea of image ...
Chrome's design bridges the gap between desktop and so-called "cloud computing." At the touch of a button, Chrome lets you make a desktop, Start menu, or QuickLaunch shortcut to any Web page or Web application, blurring the line between what's online and what's inside your PC. For example, I created a desktop shortcut for Google Maps.
TypeScript was released to the public in October 2012, with version 0.8, after two years of internal development at Microsoft. [13] [14] Soon after the initial public release, Miguel de Icaza praised the language itself, but criticized the lack of mature IDE support apart from Microsoft Visual Studio, which was not available on Linux and macOS at the time.
Altszyler and coauthors (2017) studied Word2vec performance in two semantic tests for different corpus size. [29] They found that Word2vec has a steep learning curve, outperforming another word-embedding technique, latent semantic analysis (LSA), when it is trained with medium to large corpus size (more than 10 million words). However, with a ...