Latest trends in blockchain, generative AI, and computer vision
Abstract
The chapter examines the speedy innovations and overlaps of three disruptive technologies, blockchain, generative artificial intelligence (AI), and computer vision (CV) and how they can transform industries. The innovations of blockchain have been developed past cryptocurrencies to include consensus mechanisms, scalability and finance, supply chain, and healthcare applications. The discussion brings out the focus on decentralized finance (DeFi), smart contracts, and nonfungible tokens (NFTs), with a focus on new paradigms of transparency, ownership, and trust. Generative adversarial networks (GANs) and variational autoencoders (VAEs) are used to create generative AI, which can produce realistic text, images, video, and sound but can revolutionize entertainment, advertising, and art and poses an ethical challenge, including such issues as deepfakes and misinformation. With the support of deep learning and neural networks, CV is now capable of human-like performance in image recognition, object detection, and facial recognition to support the application in autonomous vehicles, medical imaging, and smart cities. This chapter also looks into the application of blockchain, generative AI, and CV to provide more data protection, model interpretability, and immersive virtual environment.
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