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Suno AI, or simply Suno, is a generative artificial intelligence music creation program designed to generate realistic songs that combine vocals and instrumentation, [1] or are purely instrumental. Suno has been widely available since December 20, 2023, after the launch of a web application and a partnership with Microsoft , which included Suno ...
Riffusion is classified within a subset of AI text-to-music generators. In December 2022, Mubert [46] similarly used Stable Diffusion to turn descriptive text into music loops. In January 2023, Google published a paper on their own text-to-music generator called MusicLM. [47] [48]
Concept mapping and mind mapping software is used to create diagrams of relationships between concepts, ideas, or other pieces of information. It has been suggested that the mind mapping technique can improve learning and study efficiency up to 15% over conventional note-taking. [1]
While these types of plugins demonstrate AI’s ability to generate text, few are talking about AI’s ability to generate images. That’s why I’ve compiled three of the best image generators ...
Udio's release followed the releases of other text-to-music generators such as Suno AI and Stability Audio. [7] Udio was used to create "BBL Drizzy" by Willonius Hatcher, a parody song that went viral in the context of the Drake–Kendrick Lamar feud, with over 23 million views on Twitter and 3.3 million streams on SoundCloud the first week. [8]
The BBC estimated that the song earned at least US$1,888 from Spotify alone; [18] Billboard estimated that the song may have earned US$9,400 globally across all platforms. The song's removal may result in the royalties being withheld. [19] The song has posed questions on the ethics and legality of creating songs with AI.
Xmind is a mind mapping and brainstorming software, It is developed by Xmind Ltd., a company registered in Hong Kong, [1] and first released in 2007. [2] [1] The application can be used to visualize ideas, clarify thoughts, manage complex information, and promote team collaboration.
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .