AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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How multi-objective optimization can steer generative AI toward more realistic drug candidates and outlines key challenges that must be addressed for broader adoption in drug discovery are outlined.
This work presents a model validation framework consisting of five recommendations that would enable the community to move beyond aggregate metrics toward understanding where and why molecular property prediction models fail, and connects evaluation choices to real-world applications and case studies encountered in pharmaceutical research.
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