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2026-03-09 09:50:33
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FM4Science (NeurIPS'24) Description The integration of artificial intelligence (AI) and machine learning (ML) into the realm of science represents a pivotal shift in the traditional methods of scientific discovery. For centuries, the systematic and logical exploration of the natural world has followed a consistent methodology. However, the emergence of AI and ML technologies promises a profound transformation in how fundamental scientific discoveries are made today. This joint effort is crucial for enhancing interdisciplinary dialogue, stimulating innovative problem-solving approaches, and ultimately, enriching the scientific community’s capacity to tackle some of the most pressing and intricate problems in modern science. Meanwhile, foundation models, trained on vast and diverse datasets, have significantly altered the landscape of computer vision and natural language processing by demonstrating robust adaptability across a multitude of tasks. These models, including prominent e...
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