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 >

The integration of sixth-generation (6G) networks with Wireless Sensor Networks (WSNs) creates unprecedented opportunities for developing secure and scalable smart city infrastructures. However, the proliferation of heterogeneous devices and exponential data growth demand more robust security solutions. While existing hybrid deep learning approaches combining convolutional, recurrent, and attention-based architectures show promise in attack detection, they face limitations including high false-positive rates, inadequate modeling of topological dependencies, and vulnerability to adversarial attacks. This paper presents an enhanced intrusion detection framework that integrates Graph Neural Net... More >