Distilling Free-Form Natural Laws from Experimental Data

[netsight]

It maybe possible to set it on a crusade to discover the Grand Unified Theory Though what it would discover maybe incredibly complex and would probably need algorithms to filter out readable data.

[stokepogue]

Can this algorithm teach someone to speak a little clearer?

[netsight]

This algorithm would aid in the development of natural language processing (NLP) machines too.

[Cubelarooso]

DO IT ON LOVE

[patsuloi]

Using angles to represent the local coordinates of the double pendulum implies specific geometric symmetry.

[wulf8121]

Damn! Wish i thought of it first!

[Zalo10]

DO IT ON THE STOCK MARKET.

[fahed79]

my head hurts.......

[TiagoTiagoT]

also it would probably be interesting to hear what the machine got to say about the distribution of prime numbers

and just for kicks, feed it with audio recordings of people talking in as many different languages as possible

oh, and give it as many genomes as you can get your hands on

[TiagoTiagoT]

among the things that i think would be interesting to feed this program are images and measurements of the Sun, Earth's seismological history (including volcanic activity and massive landslides, including submarine ones), stock market data, occurrence and distrubtion of significant political events across the world, and perhaps also the universe's background radiation (atmospheric climate would be too obvious of a choice)

[eljanejoo]

I take mi hat off !!! Congratulations!! Keep evolving

[luxor95]

this is awesome!!!

[IQ20000Berta]

Is this real or fake. Why do you not research biological processes with your method.

[Xbizkitl]

incredible!

[andrewkbradshaw]

Excellent!

[ilijav]

Great video, very educational. Albeit I'm not sure why all that pricey equipment when you could just generate "experimental data". Its not that you are applying it on some yet unsolved problem.

[TiagoTiagoT]

@ilijav i believe they gotta first test it against known data to confirm the conclusions the thing make can be trusted