Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

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This research combines deep learning, visual question answering (VQA), and informed learning to bridge the gap between human-level understanding and machine-driven crop diagnostics. ILCD integrates a ...

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XPENG, in collaboration with Peking University, has developed FastDriveVLA-a novel visual token pruning framework that enables autonomous driving AI to 'drive like a human' by focusing only on ...

Bottom line: Recent advancements in AI systems have significantly improved their ability to recognize and analyze complex images. However, a new paper reveals that many state-of-the-art visual ...

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