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For example, the set cover problem is a special case of submodular optimization, since the set cover function is submodular. The set cover function attempts to find a subset of objects which cover a given set of concepts. For example, in document summarization, one would like the summary to cover all important and relevant concepts in the document.
Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions, is available on iOS, Android, and Web and offers a suite of tools aimed at streamlining the creation and editing of videos.
The app is free to use and offers in-app purchases of stickers and other graphic elements. [31] Picsart Animator - an animation app allowing the creation of cartoon videos, GIFs and other animation. [32] Picsart Color - a drawing and painting app [33] Picsart GIF & Sticker Maker - an animated GIF and sticker generator [12]
FileMaker is a cross-platform relational database application developed by Claris International, a subsidiary of Apple Inc. It integrates a database engine with a graphical user interface and security features, allowing users to visually modify a database.
Adobe Firefly is a generative machine learning text-to-image model included as part of Adobe Creative Cloud.It is currently being tested in an open beta phase. [1] [2] [3]Adobe Firefly is developed using Adobe's Sensei platform.
Free development licenses; per-CPU deployment licenses ViziApps: WYSIWYG, graphical drag and drop Yes Test right in browser or device Online design studio Android, iOS, Windows Phone planned The native distribution format of each platform Free to design, test, demo, update, app; fee to publish V-Play Engine: Objective C, C++, JavaScript, QML ...
Generative AI can be either unimodal or multimodal; unimodal systems take only one type of input, whereas multimodal systems can take more than one type of input. [59] For example, one version of OpenAI's GPT-4 accepts both text and image inputs. [60]
OpenAI began collaborating with Broadcom in 2024 to design a custom AI chip capable of both training and inference targeted for mass production in 2026 and to be manufactured by TSMC in 3 nm node. This initiative is intended to reduce OpenAI's dependence on Nvidia GPUs, which are costly and face high demand in the market.
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