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The two most common types of orientation are portrait and landscape. [1] The term "portrait orientation" comes from visual art terminology and describes the dimensions used to capture a person's face and upper body in a picture; in such images, the height of the display area is greater than the width.
Google Answers' predecessor was Google Questions and Answers, which was launched in June 2001. This service involved Google staffers answering questions by e-mail for a flat fee (US$3.00). It was fully functional for about 24 hours, after which it was shut down, possibly due to excessive demand and the tough competition that Yahoo! set in place ...
WordPad is a word processor software designed by Microsoft that was included in versions of Windows from Windows 95 through Windows 11, version 23H2.Similarly to its predecessor Microsoft Write, it served as a basic word processor, positioned as more advanced than the Notepad text editor by supporting rich text editing, but with a subset of the functionality of Microsoft Word.
San Francisco, a hub for innovation and tech, takes the third spot on the list. The median home size in the area is 1,309 square feet. Homes sold for an average price of $947 per square foot.
Apple, Google and Microsoft independently developed different color-font solutions for use in OS X, iOS, Android and Windows. OpenType and OFF already had support for monochrome bitmap glyph, so Google proposed that OFF be extended to allow for color bitmaps. Apple adopted this approach but declined to participate in extending the ISO standard.
Lin-Manuel Miranda is "still surprised" that "We Don't Talk About Bruno" was the runaway hit from Encanto.That's why he's hesitant to guess what could be the fan-favorite song from Mufasa: The ...
Google Fonts (formerly known as Google Web Fonts) is a computer font and web font service owned by Google. This includes free and open source font families, an interactive web directory for browsing the library, and APIs for using the fonts via CSS [ 2 ] and Android . [ 3 ]
The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).