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  2. Synthesia - Wikipedia

    en.wikipedia.org/wiki/Synthesia

    Here's a prompt for a video edit on Synthesia: "Create a 60-second explainer video on the topic 'Future of Artificial Intelligence'. Use a futuristic background, animated text, and a professional avatar. The avatar should be a young woman with a friendly smile. Use the following script:

  3. Synthesia (company) - Wikipedia

    en.wikipedia.org/wiki/Synthesia_(company)

    From this a text-to-speech video is created to look and sound like the individual. [5] [6] Users create content via the platform's pre-generated AI presenters [3] or by creating digital representations of themselves, or personal avatars, using the platform's AI video editing tool. [7] These avatars can be used to narrate videos generated from text.

  4. Synthetic media - Wikipedia

    en.wikipedia.org/wiki/Synthetic_media

    Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...

  5. Synthesia's AI video generation platform hooks $12.5 million ...

    www.aol.com/news/synthesias-ai-video-generation...

    Synthesia, an AI video generation platform, is looking to make video content creation as simple and efficient as possible, and FirstMark is taking a bet on it making the world better, and not worse.

  6. AI video avatar platform Synthesia raises $50 million in ...

    www.aol.com/news/ai-video-avatar-platform...

    Synthesia, a London-based artificial intelligence startup that creates video avatars of real people, said on Wednesday it raised $50 million from Silicon Valley venture capital firm Kleiner ...

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]

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