Abstract
The two articles in this special section focus on the intersection of systems and biology. Biological systems carry out computation and store information with efficiency levels and complexity that far exceeds those of synthetic computer systems. Consider, for example, that biological neural networks are estimated to offer at least four orders of magnitude with better ops/Joule than synthetic neural networks, or the storage advantages offered by molecular and DNA substrates, or the fact that sophisticated molecular pathways and mechanisms permit biological systems to interface with the most efficient sensing systems that we know of. At the same time, advancing our understanding of complex biological systems rests on continued scaling of the computational capabilities of high-performance and efficient computer systems, hardware, and software.
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