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In the 105th session of Multimodal Weekly, we feature a paper on long video reasoning and an application to generate sports highlights. ✅ Woongyeong Yeo and Kangsan Kim will present WorldMM, a novel multimodal memory agent that constructs and retrieves from multiple complementary memories, encompassing both textual and visual representations. Woongyeong Yeo: https://wgcyeo.github.io/ Kangsan Kim: https://kangsankim07.github.io/ WorldMM: https://worldmm.github.io/ ✅ Prashant Trivedy will present GameCut, an AI-powered video highlights for sports creators to turn raw footage into viral content in seconds. Connect with Prashant: https://www.linkedin.com/in/prashantt... Check out GameCut: https://www.gamecut.ai/ Timestamps: 00:07 Introduction 04:45 Woongyeong starts 05:40 Understanding long video 07:10 Scaling to day-long video 08:00 Understanding videos with text 09:45 Multimodal memory 11:15 WorldMM 11:52 Episodic memory 13:40 Semantic memory 17:05 Visual memory 18:35 Adaptive memory retrieval 21:00 Kangsan discusses main results 24:20 Effect of memories 27:00 Additional analysis and efficiency analysis 29:30 WorldMM takeaway 33:25 Prashant starts 34:47 The challenges with sports highlight generation 36:10 The GameCut solution 37:40 How it works 39:20 TwelveLabs integration 40:30 Demo 54:52 Wrap Up 58:45 Q&A with Prashant Join the Multimodal Minds community to receive an invite for future webinars: / discord