John Platt on AI for Science: How Google ERA Automatically Solves Scorable Scientific Problems
Google's John Platt introduced Empirical Research Assistance (ERA), developed by his team. It uses Gemini to maintain an experiment tree, selects and mutates notebooks in a manner similar to Monte Carlo tree search, and automates the solving of scientific problems that can be written as scoring functions. It has already produced at least ten papers. ERA underwent a qualitative leap between Gemini 2.0 and 2.5, going from completely unusable to highly effective, and has been used in climate change research such as aircraft contrails.
Google's John Platt introduced Empirical Research Assistance (ERA), developed by his team. It uses Gemini to maintain an experiment tree, selects and mutates notebooks in a manner similar to Monte Carlo tree search, and automates the solving of scientific problems that can be written as scoring functions. It has already produced at least ten papers. ERA underwent a qualitative leap between Gemini 2.0 and 2.5, going from completely unusable to highly effective, and has been used in climate change
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