AIMPACT update: On May 19 (UTC+8), Stanford AI Lab announced that its project DSGym has been accepted by ICML 2026. DSGym is a unified framework designed to evaluate and train data science agents, featuring standardized abstractions and a modular architecture that supports adding tasks, agent scaffolds, and tools. The announcement was made via Twitter by Stanford AI Lab, primarily for informational purposes. (Source: InFoQ)
Stanford AI Lab's DSGym Accepted by ICML 2026
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Summary
On May 19, 2026 (UTC+8), the Stanford AI Lab announced that its AI + crypto news project, DSGym, has been accepted by ICML 2026. Built on MetaEra, DSGym provides a unified framework for evaluating and training data science agents, featuring a modular design that supports task addition, agent scaffolding, and tool integration. The on-chain news update was shared via the Stanford AI Lab’s official Twitter account.
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