Bowen Liu calls labeled data scarcity the core bottleneck in scientific AI
Bowen Liu · AI at the Intersection of Bio | Vijay Pande, Surya Ganguli & Bowen Liu · Oct 3, 2024 · at 7:09
Bowen Liu, an investment partner at a16z, discusses the primary challenges of applying machine learning to physical sciences and drug discovery.
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“Yeah, I think you touched on, like, probably the core problem of, like, you know, ML applied to science. While we have a lot of, like, unlabeled data, like, there's just not that much label data out there. And a lot of it is because, like, it's very experimentally expensive to, like, generate data both in terms of, you know, both in terms of time and cost.”
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