Two AI-based science assistants succeed with drug-retargeting tasks
We can help with that
Both tools generate hypotheses; one goes on to analyze some of the data.
Finding connections within the messy world of biology is central to these new tools. Credit: Andriy Onufriyenko
On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” meaning researchers are regularly applying their judgements to direct the system. The second, from a nonprofit called FutureHouse, goes a step beyond and has trained a system that can evaluate biological data coming from some specific classes of experiments.
While Google says its system will also work for physics, both groups exclusively present biological data, and largely straightforward hypotheses—this drug will work for that. So, this is not an attempt to replace either scientists or the scientific process. Instead, it’s meant to help with the...
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