Exciting research on the execution of biological computer processes, in-vivo.
The living animal which the molecular automata computed was a cockroach. The logic gates which were successfully executed in the animal were: AND, OR, XOR, NAND, NOT, CNOT and a half adder.
The team says it should be possible to scale up the computing power in the cockroach to that of an 8-bit computer, equivalent to a Commodore 64 or Atari 800 from the 1980s. Goni-Moreno agrees that this is feasible. “The mechanism seems easy to scale up so the complexity of the computations will soon become higher,” he says.
You may or may not have heard of Google correlate. It’s one of my favourite Google lab projects: you draw a curve and Google returns the top 10 search results that match your curve.
Interestingly in the White Paper accompanying the algorithm creators (Matt Mohebbi, Dan Vanderkam, Julia Kodysh, Rob Schonberger, Hyunyoung Choi & Sanjiv Kumar) ran the algorithm against the ribosome, that wonderous wet CPU inside every cell of our bodies.
The terms that overlap with ribosome are all closely related biological terms. Its the rhythmic nature that intrigues the authors:
"the phenomenon of biology study appears to be uniquely characterized by its temporal pattern: Other school topics (e.g. the Canterbury Tales) are also studied early in the school semester and yet this time series is not correlate nearly as well.”
in 2011 top 10 matching terms were
2. cell wall
5. plant cells
8. nuclear membrane
10. cell function
1. plant cells
2. animal cells
3. plant cell
4. cell wall
8. animal cell
10. nuclear membrane