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  2. FontForge - Wikipedia

    en.wikipedia.org/wiki/FontForge

    FontForge uses FreeType for rendering fonts on screen. [9] Since the November 15, 2008 release, FontForge uses libcairo and libpango software libraries for graphics and text rendering, [10] providing anti-aliased graphics and complex text layout support. FontForge can use Potrace or AutoTrace to auto trace bitmap images and import them into a font.

  3. Figma - Wikipedia

    en.wikipedia.org/wiki/Figma

    Figma is a collaborative web application for interface design, with additional offline features enabled by desktop applications for macOS and Windows.The feature set of Figma focuses on user interface and user experience design, with an emphasis on real-time collaboration, [2] utilising a variety of vector graphics editor and prototyping tools.

  4. Function point - Wikipedia

    en.wikipedia.org/wiki/Function_point

    The function point is a "unit of measurement" to express the amount of business functionality an information system (as a product) provides to a user. Function points are used to compute a functional size measurement (FSM) of software.

  5. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    Capable of processing text, image, audio, and video, GPT-4o is faster and more capable than GPT-4, and free within a usage limit that is higher for paid subscriptions. [111] Active GPT-4o mini: July 2024 A smaller and cheaper version of GPT-4o. GPT-4o mini replaced GPT-3.5 in the July 2024 version of ChatGPT. [112] Active o1-preview September 2024

  6. Burcham Clamp - Wikipedia

    en.wikipedia.org/wiki/Burcham_Clamp

    John Burcham Clamp (1869-1931) (known as Burcham Clamp) was an architect born on 30 November 1869 at 743 George Street, Sydney. Known as Burcham, he won the Mort scholarship in 1882. In 1886 he received honorable mention in the student design competition of the Institute of Architects of New South Wales.

  7. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.