A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Mehdi Mohammadi, Ala Al‐Fuqaha, Sameh Sorour, et al.
A comprehensive survey of deep learning techniques for IoT big data and streaming analytics, covering architectures, applications, implementation on fog/cloud, and open challenges.
Keming Wu, Baoyi Wang, Kaichen Zhang, et al.
StreamOPD is a post-training recipe combining verifiable streaming-video data, thinking-mode on-policy distillation, and instruct-mode deployment, improving streaming video understanding without inference-time memory or retrieval.
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Streamingt2v introduces a method for generating consistent, dynamic, and extendable long videos from text by conditioning on an initial image and adapting techniques for enhanced quality and resolution.
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CacheGen reduces KV cache loading delay by 1.67-1.81x versus 8-bit quantization while achieving nearly lossless compression for fast LLM serving.
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SAM 2 extends promptable segmentation to video with a transformer and streaming memory, achieving real-time performance and state-of-the-art accuracy.