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The challenge necessitates individuals to create competitive styles for numerous downstream tasks with confined labeled data and trainable parameters, by reusing self-supervised pre-trained networks.Some particular topics within the context of scientific discovery and engineering style and design include things like (although not restricted to):AI
It's organized by CECAM and it targets researchers who have an interest in computational chemistry and product science by featuring insights into how AI can guidance theoretical advancements and precision in DFT purposes.Pedagogical alignment. Application of cognitive and Understanding science principles to boost GenAI-dependent Studying frameworks
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