Hsuan-Tien Lin 谈用 AI 在人类知识凸包内插值发现新知识
Jason Wei 团队拿现成的健康数据，把散落在各领域的专业知识连起来挖出新科学洞见，思路值得琢磨。
NVIDIA 资深研究科学家 Jim Fan 转发了 @_jasonwei 团队利用现有健康数据做知识连接的工作。这套思路源于 Hsuan-Tien Lin 去年一场讲座中提出的模型：把 AI 视为人类集体知识的凸包。人类专业知识分散在不同人和领域之间，通过在高维知识空间中做插值，可能存在大量未被开发的知识。健康数据领域的应用展示了这种连接碎片化知识的具体方式。
In a lecture I gave last year (https://t.co/gyBq2vRbvD), I shared a mental model for AI: the convex hull of humanity’s collective knowledge.
Human expertise is highly specialized and fragmented across people and fields. I hypothesized that there might be a huge overhang of new knowledge accessible through “interpolation”: connecting the dots in this high-dimensional knowledge space.
@_jasonwei and the team are showing what connecting the dots can look like with an existing trove of health data. Exciting to see AI helping researchers turn that data into new scientific insights!
