Deepfake Image Maker
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Generative Adversarial Networks for Image-to-Image Translation
Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images. - Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN - Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks - Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis - Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications
Tools for Design, Implementation and Verification of Emerging Information Technologies
This book constitutes the refereed post-conference proceedings of the 18th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2023, which was held in Nanjing, China, during November 11-13, 2023. The 9 full papers were selected from 30 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on blockchain and its applications; emerging applications; AI and its security.
Making Media Futures
Making Media Futures offers a multi-perspectival exploration of how imaginaries and knowledge of the future are constructed in and through various media. The volume addresses the discursive dimensions of imaginaries and future visions as well as the impact of technological, material, and cultural conditions on the propagation of future discourses through media. Providing both theoretically detailed and empirically rich investigations, the contributions offer a wide range of cases spanning the century from the end of World War II until today and looking at examples from the Southern Hemisphere as well as the Global North. Bringing together scholars in media studies, science and technology studies (STS), and the history and philosophy of technology, the chapters discuss future visions and imaginations of quantum computing, the uncertainty and impact of AI-based text-to-image generation, the ideology behind 5G telecommunication standards, imaginaries of the Internet of Things, transmedia strategies in global and local climate protests, how broadcast radio was implicated in the evangelical mission imaginary, and how early visions of automating scholarly information management shaped standards and ideals of academia. The volume thus complements existing approaches and analytical frameworks for the study of imaginaries and futures discourses with perspectives that are sensitive to the plurality of media-specific conditions and technologies. The book will interest students and scholars working in media studies, STS, history and philosophy as well as at the intersection of engineering, humanities and social sciences, on matters such as sustainability, ethics, and responsible innovation.