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Tamarind introduces a molecular AI model router that automatically selects the best model for specific inputs based on benchmarks and input characteristics, rather than relying on average performance.
TabPFN-CFM is a causal foundation model that predicts both causal structure and outcomes from observational data, supporting all three levels of Pearl's Causal Hierarchy and achieving improved performance over baselines.
A newly released AI tool has generated an atlas of over one billion predicted protein structures and sequences.
Biohub releases ESMC, ESMFold2, and ESM Atlas — a world model for protein biology enabling state-of-the-art prediction, design, and discovery across scales, including a billion-structure atlas.