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ALGORITHMS 
IN NATURE
NATURE IS AN 
INNOVATION LAB
Life is an 
Operating System
DNA = High density 
storage 
700TB / gram 
Equivalent to 150 kilos of 
230 3TB hard drives
Each cell has a CPU 
& distributed 
compilers
Each cell contains a 
program that can 
recreate itself
There’s a 
programmable protein 
3D printer in each cell
1950 - Alan Turing proposes 
a new kind of algorithms 
inspired by biological 
evolution
Principles of genetic 
algorithms 
Replicate best solutions 
Introduce random mutations 
Kill underperforming solutions
The Immune system as an 
adaptive machine learning 
system
Dendritic cells are data 
scientists 
Memory T-cells act as 
predictive model storage
Neural networks 
Rediscovered:1943
Slime molds 
Don’t have a nervous system 
use external memory to 
process information
Slime molds 
Recreated optimal US 
highways 
Solving Minimal Spanning Tree 
Algorithm discovered in 1926
Traveling salesman problem 
Took humanity over 40 years to solve
Ants solve it on a daily basis 
Though each ant can’t even 
remember the way back to 
nest
Graph coloring problem 
Closely related to maximal independent sets 
Solved: 1976
Fruit fly bristles 
Growth patterns form a 
maximal independent set 
ISCB award to Ziv Bar Joseph
You are seeing a 
picture of a broccoli 
A small number of genes encodes 
an astonishing complexity
Fractals 
Discovered in 1975 
a natural phenomenon or a mathematical 
set that exhibits a repeating pattern that 
displays at every scale
The next breakthrough 
is out there 
sagie@sparkbeyond.com @mesagie

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Algorithms in Nature - How DNA, Cells, Immune Systems and Slime Molds Solve Computational Problems