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🧠✨ Thrilled to share our latest AI work led by the brilliant Haizi Yu and @lrvarshney! We've developed a white-box AI model that learns like humans do - from just ONE example, no pretraining needed. (rdcu.be/ev44p) Our "distortable canvas" mimics how babies might natively perceive similarity (such as recognizing that a "1" and a crutch share the same shape). Using this cognitive insight simple nearest-neighbor classification, we achieved: 80% MNIST accuracy with 1 example per class Near-human performance on complex visual tasks Human-interpretable learning process This represents a major step toward data-efficient, explainable AI that thinks more like we do. The model is completely transparent - you can see exactly how it transforms one image into another, following human intuition. #AI #MachineLearning #CognitiveScience #ExplainableAI #FewShotLearning #PriorDrivenModeling
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