Since planet formation is an extreme event. Some heat from fusion processes is probably needed to ?melt the rocks. These being the building materials.
Therefor there should exist plenty of ideas that can be derived from planet formation.
For instance. Should the hydrogen in fusion be cold stored at -space temperatures. What is the temperature preparation for fusion?
To build peace. I think the business strategy could work. Basically since people need money. Why not choose business ideas that are peace building.
Inspired by the genetic algorithm where you have crossover. I imagined my own variant of this and machine learning.
The idea is to let one or more model2() iterate with [1,0] as its argument. These models will adapt itself and share some of its weights with the target prediction model1().
So the idea is to mix in more types of learning aproaches. One ?fixation model2() and one learning model1().
With this I got a little over 98% on MNIST.
All forms of integrate possible variants of integrate(exp(-x**2)) is extracted from the differentiation of diff(exp(-x**2)) // Per Lindholm 2018
I think this applies to any function. So from the differentiation and compare I think you could figure out what functions to use.
From this I see that
-60480*x**2*exp(-x**2) + 30240*exp(-x**2)
is a possible integrate possible variant of exp(-x**2). I wonder if you can iterate the first part of the function. Could the integration solution succesfullness be like a function that has only one solution. So the two parts belong together in a higher equation?
I kind of figured out how to use sympy in python to test math ideas.
First copy the initial imports from sympy interactive tutorial.
Then the syntax and what you can do a mix of ordinary python with numpy coding and sympy.
So defining a function is done with
some code with x
An example would be to find an other approximate function for exp(-x**2).
In the example I tried to adapt sin(x)/x to exp(-x**2). It could be ?solved with ordinary machine learning methods.
a = sin(x*k)/(x*k)
y = a**15
b = y*sin(x*k)/(x*k)
Here I tought I adapt the function internally. That is. I multiply the original function with a function of itself. The y = a**15.
Then I just ran g(x,k) through the loop to find k with the loss of loss = F.mean_squared_error(g(x,k), exp(-x**2))
From this I recomend that you can use pretty much your entire imagination to find the value you want. Its much more fun that way.
For any prolonged conflict. What if you have a website. Where you can watch stock market increase estimates. Even your own income increase for all the types of jobs.
This is something people understand. Job opportunities. After peace projects is also a very important idea to plan for before peace.
Everything technical has some computer in it. That my assumption. Therefor my idea is to suggest a raspberry pi computer with business kit hardware.
So maybe these small computers. Even the Pi Zero could be fitted into a pay as you go box for solar panels. Enabling more businesses to take form.
So the idea is to make it easy to setup a business using the raspberry pi. Making it more easy to start a business for people all over the world.