Graphcore: Accelerating machine learning in the cloud
Graphcore allowed us to speed up our experimentation process. Previously we used GPUs, and it took us about a month or so to have a V1 of the functioning model of all of the proteins that are out there. With Graphcore, we reduced the turnaround time to about two weeks, so that we can experiment much more rapidly and we can see the results quicker.
Floating Point Math
Floating Point Math Your language isn’t broken, it’s doing floating point math. Computers can only natively store integers, so they need some way of representing decimal numbers. This representation is not perfectly accurate. This is why, more often than not, 0.1 + 0.2 != 0.3. Why does this happen? It’s actually rather interesting. When you have a base-10 system (like ours), it can only express fr
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Primitive Technology: Thatched Workshop
