FT002 - Is Machine Learning the Language of Biology?

Physics and math were made for each other. Many of the hardest problems in physics have found elegant solutions written in the language of math. Math is also a useful tool for biology, but it has never quite found the same levels of success. We explore why biology is hard to grasp with math and why AI might help humans reach deeper levels of understanding.
Follow us on Subtack: foundrytheory.substack.com/
Or the Ginkgo Bioworks website: ginkgobioworks.com/learn/is-ml-the-language/

[@SaaSCompounder]

Great series, the time is right for Ginkgo.

[@cdjwmusic]

This is incredible content! really great format and very well explained

[@beastgaming7879]

I am also trying to link the dots but after studying biology in depth I found that the enormous statistical data can be very confusing and even with in depth knowledge of molecules and their interaction. It is very hard to predict what is actually happening within the system. But bioinformatics linked with AI and continuous trial and error method of restructuring of pattern can give us very profound results which otherwise would take decades or almost impossible to find out.

[@julientomezach2160]

When people are that smart it s hard to not buy DNA stocks, even if it s not cheap...