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Mobile-4DGS 提出了一个统一的轻量级框架，在资源受限的移动设备上实现高保真、实时的静态与动态高斯溅射渲染。该方法通过压缩外观建模、多视角致密化与剪枝，以及紧凑的显式4D表示（含静态-动态划分与深度顺序复用），显著降低了存储和渲染开销，同时保持了有竞争力的视觉质量。
Steve Jobs explains Apple's decision to not support Flash on its mobile devices, arguing that Flash is a closed system and promoting open web standards like HTML5 for better performance and openness.
There is a high probability that devices will be sold with GrapheneOS preinstalled by 2027.
A comprehensive guide reviewing and ranking the best Android phones of 2026, highlighting key specifications and features to consider for informed purchasing decisions.
This article benchmarks AI inference performance on the iPhone 17 Pro, evaluating metrics like generation time and model intelligence across various tasks to assess real-world mobile device usage.
The tweet praises the LFM2.5-2.6B model for its strong performance in on-device evaluations, highlighting its generalization capabilities beyond agentic tasks in partnership with Artificial Analysis for testing on mobile devices.
This paper presents a privacy-preserving federated recommendation system for mobile devices, using a two-stage pipeline with candidate generation and ranking, implemented via Kotlin Multiplatform on Android/iOS.