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okay well yeah um yeah thank you for having me uh to kind of speak to you today um yeah my names ross uh im coming to uh coming from uh deepmind science team and yeah today were gonna be talking about uh the work done with alpha fold which you may have heard of which is our way of our method for solving the protein structure prediction problem um yeah and so were going to cover some background on proteins because yeah i i wont assume that anyone knows uh you know what proteins are or how they work or why theyre interesting uh so well do a bit of background on proteins and the physics of that and then dive into some of the machine learning components that make alpha fold work um yeah and chat about them a bit uh and yeah maybe then later look into some of the results and uh interpretation of that and some of the impact uh yeah and i think alpha fold is a super interesting case study for i guess what youve been uh learning about already because i guess its its a sort of non-st