Recent Posts
- Principles of biological computation: from circadian clock to evolution
- The science and engineering of biological computation: from process to software to DNA-based neural networks
- Elements of biological computation & stochastic thermodynamics of life
- Rationality, the Bayesian mind and their limits
- Web of C-lief: conjectures vs. model assumptions vs. scientific beliefs
- Idealization vs abstraction for mathematical models of evolution
- Allegory of the replication crisis in algorithmic trading
- 686,989 views
Join 2,754 other subscribers
Contributing authors
- Abel Molina
- Alexandru Strimbu
- Alexander Yartsev
- Eric Bolo
- David Robert Grimes
- Forrest Barnum
- Jill Gallaher
- Julian Xue
- Artem Kaznatcheev
- Keven Poulin
- Marcel Montrey
- Matthew Wicker
- Dan Nichol
- Philip Gerlee
- Piotr Migdał
- Robert Vander Velde
- Rob Noble
- Sergio Graziosi
- Max Hartshorn
- Thomas Shultz
- Vincent Cannataro
- Yunjun Yang
Microscopic computing in cells and with self-assembling DNA tiles
May 29, 2013 by Artem Kaznatcheev 9 Comments
One of the three goals of natural algorithms is to implement computers in non-electronic media. In cases like quantum computing, the goal is to achieve a qualitatively different form of computing, but other times (as with most biological computing) the goal is just to recreate normal computation (or a subset of it) at a different scale or in more natural ways. Of course, these two approaches aren’t mutually exclusive! Imagine how great it would be if we could grow computers on the level of cells, or smaller. For starters, this approach could revolutionize health-care: you could program some of your own cells to sense and record your internal environment and release drugs only when necessary. It could also alter how we manufacture things; if you throught 3D printers are cool, what if you could program nanoscale assemblies?
Read more of this post
Filed under Commentary, Models Tagged with Alan Turing, conference, cstheory, empirical, Leslie Valiant, realistic model