What's holding back the true scale of automated AI research? Tsinghua University's AI team, led by Asst. Prof. Jia Li, with key contributions from Lehui Li and Liyi Cai, introduces Alchemy, a standardized research environment. It's a 'pre-built AI furnace' that unifies all complex engineering tasks—from data processing to resource scheduling. AI scientists simply provide their algorithm (.py) and hyperparameters (.yaml) to run full experiments. This frees AI scientists from engineering burdens, drastically boosting the scale and efficiency of automated AI research across domains like recommender systems, time series, and graph learning, enabling high-concurrency experiments and continuous integration for new tasks. Code: github.com/TsinghuaISE/Alche… Our report: mp.weixin.qq.com/s/FyhCjhZ4l… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-05 18:08 UTC

Leave a Reply