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StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, [1] and made source available in February 2019. [2][3] StyleGAN depends on Nvidia's CUDA software, GPUs, and Google's TensorFlow, [4] or Meta AI 's PyTorch, which supersedes TensorFlow as the official implementation library in later StyleGAN ...
Celebrities have been warning people of these fake endorsements, and to be more vigilant against them. [ 94 ] [ 95 ] [ 97 ] Celebrities are unlikely to file lawsuits against every person operating deepfake scams, as "finding and suing anonymous social media users is resource intensive," though cease and desist letters to social media companies ...
Generative AI systems trained on sets of images with text captions include Imagen, DALL-E, Midjourney, Adobe Firefly, Stable Diffusion and others (see Artificial intelligence art, Generative art, and Synthetic media). They are commonly used for text-to-image generation and neural style transfer. [ 49 ]
California Gov. Gavin Newsom (D) on Thursday signed multiple artificial intelligence (AI) bills aimed at preventing the misuse of sexually explicit deepfakes. Newsom’s signature on the three AI ...
“Advances in AI over the last few years make it easy to generate hyper-realistic yet completely fake election-related deepfakes, but [the new law] will ensure that online platforms minimize ...
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 ...
Audio deepfake. An audio deepfake (also known as voice cloning or deepfake audio) is a product of artificial intelligence [1] used to create convincing speech sentences that sound like specific people saying things they did not say. [2][3][4] This technology was initially developed for various applications to improve human life.
Concerns have been raised about the potential use of GAN-based human image synthesis for sinister purposes, e.g., to produce fake, possibly incriminating, photographs and videos. [92] GANs can be used to generate unique, realistic profile photos of people who do not exist, in order to automate creation of fake social media profiles. [93]