#AI4Science
2 articles
Abundant Data, Scarce Knowledge: Time to Attack the Quantification of Knowledge
After more than two decades of data arms race, biomedicine received a cold verdict: data explosion, knowledge poverty. Knowledge has long lived in three forms—travelogues (literature reviews), natural history museums (databases), and maps (computable knowledge)—and biomedicine lacks precisely the third. This essay argues from the history of science that a discipline matures when its core knowledge turns from narrative into computable objects: astronomy has star catalogs, chemistry has the periodic table, biomedicine has yet to build its coordinate system. It is time to attack the quantification of knowledge: parameterize, structure, and close the loop—so that a worldview finally acquires a computable carrier.
2026-08-17
From the Confusion Over 'Wind' to the True Mission of AI for Science
Starting from the conceptual confusion of 'wind' in TCM, exploring the true mission of AI for Science and the nature of scientific discovery.
2026-04-20