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CAAIL

Cellular Agriculture for AI Researchers

A starting point for AI / ML researchers approaching cellular agriculture from the computer-science side. Watch the field foundations, pick up the reference reading, then follow the cross-links into the AI × cell-ag work catalogued throughout the rest of the library. (Approaching from the biology side instead — learning the AI? See the companion AI for cell-ag researchers primer.)

Watch first — field foundations

Short primers and the field's annual State of the Industry talks: the science, the commercial landscape, and the people doing the work. Start here, then the rest of the library becomes much more navigable.

Read and take a course

Reference reading and structured courses for the science and the bioprocess-engineering side of scale-up.

See AI applied to cell-ag

Once you have the field context, these are the entry points into the AI × cell-ag work itself.

Next: learn the AI side