OpenAI、PerturbAI和斯克里普斯研究所宣布，数千个由GPT-Rosalind驱动的分布式AI智能体在32分钟内分析了来自数百万小鼠脑细胞的实验数据。
OpenAI, PerturbAI, and Scripps Deploy Distributed AI Agents to Accelerate Brain Cell Data Analysis OpenAI, PerturbAI, and Scripps Research announced that thousands of distributed AI agents powered by GPT-Rosalind analyzed experimental data from millions of mouse brain cells in 32 minutes.
在检查全脑CRISPR图谱时，这些智能体评估了基因破坏效应，将发现与科学文献交叉核对，并提出了生物学机制——这一过程据估计需要人类研究人员数月至一年才能完成。
Examining a whole-brain CRISPR atlas, the agents evaluated gene disruptions, cross-referenced findings with scientific publications, and proposed biological mechanisms—a process estimated to take human researchers months to a year.
该分析产生了新颖假设，例如与结节性硬化症相关的Tsc1和Tsc2在小脑中的不同影响，以及DCTN1基因破坏与胆固醇转运和佩里综合征神经退行性变之间的潜在关联机制。
The analysis yielded novel hypotheses, such as distinct cerebellar effects between Tsc1 and Tsc2 linked to tuberous sclerosis and a potential mechanism connecting DCTN1 gene disruption to cholesterol transport and neurodegeneration in Perry syndrome.
研究团队已将生成的推理图谱公开，以帮助科学家确定未来实验室实验的优先顺序。
The research team has made the resulting reasoning atlas accessible to help scientists prioritize future laboratory experiments.