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Yeah, it was a big slap in the face. But, to be fair, most of the scientific and technological advances (sequencing efforts, structural genomics projects, etc.)
by flobosg 6y ago
Yeah, it was a big slap in the face. But, to be fair, most of the scientific and technological advances (sequencing efforts, structural genomics projects, etc.) that generated the data used by DeepMind came from academia and, to a lesser extent, the pharma industry.
- sjg007 6y agoI think the lesson here is that most of the big data genomic, metabolic, pharmacologic and other research will all be driven by deep learning. The models themselves however require 100+ gpus so we are sort of back in that phase where you need large compute systems to even compete. A single lab will have issues unless they can leverage a cloud and then also get grant funding to spend that money on the cloud compute... which may be difficult b/c its basically a consumable now and you don't have any hardware leftover.