PolyFusionAgent integrates a multimodal polymer foundation model with a literature-grounded AI agent for property prediction and inverse design of novel polymers.
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Foundation models excel at pattern recognition in biomedical imaging but lack causal reasoning, robustness, and safety for real-world use, so they should augment rather than replace clinical expertise according to the proposed REAL-FM assessment framework.
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PolyFusionAgent: A Multimodal Foundation Model and Autonomous AI Assistant for Polymer Property Prediction and Inverse Design
PolyFusionAgent integrates a multimodal polymer foundation model with a literature-grounded AI agent for property prediction and inverse design of novel polymers.
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Foundation Models in Biomedical Imaging: Turning Hype into Reality
Foundation models excel at pattern recognition in biomedical imaging but lack causal reasoning, robustness, and safety for real-world use, so they should augment rather than replace clinical expertise according to the proposed REAL-FM assessment framework.