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This invention describes a system for finding images based on what they mean, not just keywords. It uses an AI model that understands both images and text to interpret a user's request and pull up an initial set of images. The system then identifies key concepts in those images, lets the user pick the most relevant ones, and uses that feedback to iteratively refine the search until the best matches are found, specifically allowing for text queries.
Why it matters: Continuous advancements in vision-language models and their accessibility have made the semantic analysis and feature extraction more precise and efficient, potentially lowering development costs.
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Reinvent this with AIEvery morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.
