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Algorithms in nature
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Transcript of Algorithms in nature
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A L G O R I T H M S I N N AT U R E
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N AT U R E I S A N I N N O VAT I O N L A B
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Life is anOperating System
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DNA = High density storage
700TB / gramEquivalent to 150 kilos of
230 3TB hard drives
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Each cell has a CPU & distributed
compilers
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Each cell contains a program that can
recreate itself
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There’s a programmable protein 3D printer in each cell
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1950 - Alan Turing proposes a new kind of algorithms
inspired by biological evolution
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Principles of genetic algorithms
Replicate best solutionsIntroduce random mutations
Kill underperforming solutions
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The Immune system as an adaptive machine learning
system
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Dendritic cells are data scientists
Memory T-cells act as predictive model storage
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Neural networks Rediscovered:1943
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Slime molds
use external memory to process information
Don’t have a nervous system
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Slime molds
Solving Minimal Spanning TreeAlgorithm discovered in 1926
Recreated optimal US highways
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Took humanity over 40 years to solve
Traveling salesman problem
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Ants solve it on a daily basis
Though each ant can’t even remember the way back to
nest
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Graph coloring problem Closely related to maximal independent sets
Solved: 1976
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Fruit fly bristlesGrowth patterns form a
maximal independent set
ISCB award to Ziv Bar Joseph
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You are seeing a picture of a broccoli
A small number of genes encodes an astonishing complexity
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FractalsDiscovered in 1975
a natural phenomenon or a mathematical set that exhibits a repeating pattern that
displays at every scale