This study introduces GenAI-FDT (GenFedTwin Resilience), a decentralized architecture designed to address the growing vulnerability of IoT-enabled smart infrastructures to climate change, particularly in the context of data silos, strict privacy regulations, and the scarcity of ground-truth data for rare catastrophic events such as floods in Maharashtra. Unlike traditional centralized digital twins, which struggle with data heterogeneity and excessive communication costs, the proposed framework integrates quantized diffusion-based Generative AI, semi-supervised federated learning (FedProx), and lightweight LSTM-CNN digital twins deployed on resource-constrained edge devices like Raspberry Pi... More >

The new progress in text-to-3D technology has greatly changed and improved the artificial intelligence (AI) applications in augmented and virtual reality (AR/VR) environments. Many different techniques in 2024-2025 like diffusion models, Gaussian splatting, and physics aware models have helped the text-to-3D much better by improving the visual fidelity, semantic coherence, and generation efficiency. Some models like Turbo3D, Dive3D and Instant3D are deigned to make the 3D generation faster by improving the working process of diffusion models. Other frameworks like LAYOUTDREAMER, PhiP-G and CompGS focus on creating scenes that are well organized and structured. Dream Reward and Coheren Dream... More >