DeepFake uses Generative+Adversarial Network for successfully switching the identities of two people. Large public databases and deep learning methods are now rapidly available because of the proliferation of easily accessible tools online. It has resulted in the emergence of very real appealing fake content that produced a bad impact and challenges for society to deal. Pre-trained generative adversarial networks (GANs) that can flawlessly substitute one person's face in a video or image for that other are proving supportive for implementing deepfake. This paper primarily presented a study of methods used to implement deepfake. Also, discuss the main deepfake's manipulation and detection techniques, and the implementation and detection of deepfake using Deep Convolution-based GAN models. A study of Comparative analyses of proposed GAN with other exiting GAN models using parameters Inception Score "IS"and Fréchet Inception Distance "FID"is also embedded. A
Generative AI has found applications in various fields, and the arena of life insurance operations is no exception.In this article, we examine the potential
Major generative AI market participants include Adobe Inc., Google LLC (Alphabet Inc.), Microsoft Corporation, IBM Corporation, NVIDIA Corporation, Amazon.
/PRNewswire/ WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider,.