algorithms in nature
DESCRIPTION
Many notable inventions are being inspired by nature’s ingenuity, numerous engineering problems were solved by mimicking the results of the hidden intelligence, products of hundreds of millions years of trial and error. The nature is a testimony to the amazing ability of ordered-chaos to lead to unbelievably innovative solutions, often for nearly unsolvable problems. Nature, the world's largest innovation lab, created astonishing solutions to problems science haven't figured out yet. Let's explore a small subset of those - algorithms.TRANSCRIPT
A L G O R I T H M S I N N AT U R E
N AT U R E I S A N I N N O VAT I O N L A B
Life is anOperating System
DNA = High density storage
700TB / gramEquivalent 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 solutionsIntroduce 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
use external memory to process information
Don’t have a nervous system
Slime molds
Solving Minimal Spanning TreeAlgorithm discovered in 1926
Recreated optimal US highways
Took humanity over 40 years to solve
Traveling salesman problem
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 bristlesGrowth 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
FractalsDiscovered in 1975
a natural phenomenon or a mathematical set that exhibits a repeating pattern that
displays at every scale
