Affinage uses a two-pass LLM system to generate literature-derived mechanistic annotations for nearly the entire human proteome, outperforming UniProt on 99.1% of genes per an LLM judge.
A large language model framework for literature-based disease--gene association prediction
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AlphaEvolve is an LLM-orchestrated evolutionary coding agent that discovered a 4x4 complex matrix multiplication algorithm using 48 scalar multiplications, the first improvement over Strassen's algorithm in 56 years, plus optimizations for Google data centers and hardware.
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Affinage: genome-scale mechanistic gene annotation from the published literature
Affinage uses a two-pass LLM system to generate literature-derived mechanistic annotations for nearly the entire human proteome, outperforming UniProt on 99.1% of genes per an LLM judge.
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AlphaEvolve: A coding agent for scientific and algorithmic discovery
AlphaEvolve is an LLM-orchestrated evolutionary coding agent that discovered a 4x4 complex matrix multiplication algorithm using 48 scalar multiplications, the first improvement over Strassen's algorithm in 56 years, plus optimizations for Google data centers and hardware.