Tech giants Google and Samsung recently launched the next generation of mixed reality headsets and smart AI glasses. These devices not only feature significant hardware upgrades but are also deeply integrated with Google's latest Gemini AI model, showcasing their ambitious vision in the mixed reality space.
Apple's augmented reality (AR) smart glasses have long been a hot topic in the tech world. Although there has been no official news about a launch, Bloomberg's Mark Gurman recently revealed in his 'Power On' newsletter that Apple's AR glasses are still in the development phase, with at least 3 to 5 more years needed before they are officially released. While Apple's Apple Vision Pro has already debuted and shares many similarities with the potential AR glasses, its relatively bulky design has raised questions about the future of Apple's offerings.
According to the latest report from South Korean media ET News, Samsung plans to introduce AI large model support for its voice assistant Bixby in January next year, which is expected to be a key selling point for the upcoming Galaxy S25 series. This year, Samsung has been actively enhancing AI capabilities in its smartphones. From 'sketch-to-image generation' to 'select-and-search', the Galaxy series phones have shown increasingly advanced intelligent features. Notably, Samsung has also engaged in deep collaboration with Google to adapt the Gemini AI assistant for its phones.
With the rapid development of virtual reality and augmented reality technologies, the demand for personalized virtual avatars has become increasingly urgent. Recently, researchers proposed a new technology called URAvatar (Universal Relightable Gaussian Codec Avatar), which allows users to easily generate high-fidelity virtual avatars by scanning with their phones. This innovative achievement not only enhances the visual effects of virtual avatars but also enables users to drive and adjust their avatars in real-time under different lighting conditions. The working principle of URAvatar is based on a complex light transport model, and it differs from previous approaches.
