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Generative AI trained on annotated video can generate temporally-coherent, detailed and photorealistic video clips. Examples include Sora by OpenAI , [ 10 ] Gen-1 and Gen-2 by Runway , [ 52 ] and Make-A-Video by Meta Platforms.
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 ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
YouTube to Require Creators to Flag AI-Generated Content, Will Add New Ways to Request Removal of Deepfakes Including Music Videos That Mimic an Artist's Voice YouTube Launches Test of AI Chatbot ...
Dream Machine is a text-to-video model created by the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator. It was released to the public on June 12, 2024, which was announced by the company in a post on X alongside examples of videos it created. [1]
Multimodal means that a generative AI model can work across mediums including text, images, and video. Google announced a host of new AI features for its Android and Workspace platforms at Google ...
Zoom, for example, launched many of the same AI features last fall, including capabilities around chaptering videos and generating summaries. YouTube has also been experimenting with AI features ...
A voiceover was provided by an actor, and AI trained using video of Tiwari speeches was used to lip-sync the video to the new voiceover. A party staff member described it as a "positive" use of deepfake technology, which allowed them to "convincingly approach the target audience even if the candidate didn't speak the language of the voter."
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