scBench-Long is a benchmark with 21 evaluations where the strongest AI model-harness pair succeeds on 25.4% of long-horizon single-cell biology tasks.
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TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
Analysis of 56,800 AI conference papers shows code and data sharing rose from 11% to 64% from 2014 to 2024, with inferred reproducibility increasing from 28% to 64%.
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scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
scBench-Long is a benchmark with 21 evaluations where the strongest AI model-harness pair succeeds on 25.4% of long-horizon single-cell biology tasks.
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TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
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AI Research moves towards open and reproducible science
Analysis of 56,800 AI conference papers shows code and data sharing rose from 11% to 64% from 2014 to 2024, with inferred reproducibility increasing from 28% to 64%.