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http://www.macworld.com/category/ios/ iOS Reviews, Guides, and How-Tos https://www.imore.com/ios iOS App Store https://www.apple.com/ios/app-store/
Imagine being thrust into a vibrant, story-rich simulation where you navigate relationships, challenges, and life-changing decisions. That’s the world of Five Hearts Under One Roof. With its engaging…
After spending a decade immersed in the Android ecosystem, switching to iOS felt like diving into uncharted waters. For 10 years, Android had been my reliable companion — a platform where I knew…
Large language models (LLMs) have rapidly advanced multimodal large language models (LMMs), particularly in vision-language tasks. Videos represent complex, information-rich sources crucial for understanding real-world scenarios. However, current video-language models encounter significant challenges in temporal localization and precise moment detection. Despite extensive training in video captioning and question-answering datasets, these models struggle to identify and reference specific temporal segments within video content. The fundamental limitation lies in their inability to precisely search and extract relevant information from large redundant video materials. This challenge becomes increasingly critical as the demand for evidence-based, moment-specific video analysis increases. Existing research on video-language models