OpenAI、PerturbAI 与 Scripps Research 用数千个 AI 智能体挖掘生物数据中的新线索
OpenAI、PerturbAI 与 Scripps Research 用分布式 AI 智能体,从数百万个脑细胞的数据中挖掘出有前景的研究线索。该演示展示了数千个 AI 智能体协同分析生物数据的用法。
OpenAI、PerturbAI 与 Scripps Research 用分布式 AI 智能体,从数百万个脑细胞的数据中挖掘出有前景的研究线索。该演示展示了数千个 AI 智能体协同分析生物数据的用法。
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it. That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders. With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets. https://openai.com/index/scaling-ai-research-for-complex-biological-data/
推荐理由:原文给出了智能体拆分大规模实验的具体做法与盲评对比数据,读者可据此判断并行智能体在科研分析中的分工方式。
推荐理由:OpenAI 公开内部前沿模型产出的数学结果,并说明发布方式参考了外部顾问组的建议。