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well, not everyone at DeepMind is working on protein folding either presumably (disclosure: I work at Google, but I know nothing about DeepMind other than whate
by adtac 6y ago
well, not everyone at DeepMind is working on protein folding either presumably (disclosure: I work at Google, but I know nothing about DeepMind other than whatever's public). I think the point they're making is that DeepMind has an order of magnitude or two fewer people working on this for a much shorter period of time than pharma companies.
- est31 6y agoIn the video on the announcement page, there was a short scene where they showed a Zoom call where the results were announced. I counted 20 people. The paper they published in Nature has 1 authors, so it matches up. Probably this is not the precise team size, but gives you a rough estimate. What's important is I think which people they hired, as well as Deepmind-internal infrastructures. You can just walk over to one of the world experts in deep learning and ask them how to address some issue. In pharma companies they have people who are really smart about drugs and biology, but ML experts would all have to be hired externally, and likely don't represent the top of the field as well as Deepmind does.