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Efficient Water Boiling Idea – Suck Water Through A Number Of Boiling Straws? Output Is Boiling Water

August 6, 2018 Per Lindholm

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Previous PostIdea – Could This Pythagoras experiment ?only hold under some low complexity. For very large a,b,c the walls should deform?Next PostIdea – Prevent Solar Panel Theft With A Built In Power To Owner Check Chip. Enables Tilted Mobil Solar Panels On Bicycle Wheels For Use Everywhere. Refugee camps?

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By Far The Smartest Idea - Hot Milk With Cooked Rice In A Cup

If free will can be recognized in the machine learning sense then it could probably also be optimized with max as the target. // Per Lindholm

Is a proof some knowledge of the probability of the network.

The Universe Is A Compression Decompression Model() // Per Lindholm 2018

Peace Idea - Any Type Of Probability Can Move Us Forward. Peace Will Do It 100% // Per Lindholm 2018

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Machine Learning Math – The difference between A and B if A == B is that the history is different. A might come from sum(vec) = A. Different future? Pi and probability belongs a little since the decimals of pi show random distribution parameters // Per
Machine Learning Agriculture – Allow the plants to iterate?. Energy efficiency, (Th-Tc)/Th = n related to plant problems. Guess. If looks like the plant is enjoying themself maybe they are. Leaf shelter if too much sun == drapes?
Machine Learning Guess – Over Problemsolvning – Label simulations that are related to the specific problem. Instead of direct transformation learning. Then ?fit the parameters of the simulation so it becomes more relevant to the problem.
Machine Learning Math Guess – Invent any imaginary Problem and solve them and you get a more complete Mathematical Framework. For example. Math Forces are ?objects that move problems out of deep layer models()?
Machine Learning Physics – Black Hole Network. When in doubt assume a network. Gives a black hole is a network that stops harmful things coming out. Black holes ?are not new physics but new intelligence due a lot of added problems.
Machine Learning Math – Thought Math – Draw a bubble around a number or variable in an equation and imagine what this could mean. Then try to program solve a problem like this in machine learning.
Machine Learning Paradigm Thought – If You Cant Split The Problem In Part Truths You Can ?Always Split It Into Many Guesses // Per Lindholm 2019-jan-27 Guess Mathematics
Idea – Could a cause of a vulcano eruption be that not wanted material got under into the lava? CO2? So a the eruption has some meaning and is not just a physical effect.
Machine Learning Idea – Using GAN asking to solve an equation. Showing x,y,z as the iterate towards the answer // Per
Machine Learning Guess – As a possibility you can wait for some of equations in the system. Why solve all at the same time. Could produce more complex paths otherwise. Here I waited for y1-y2 -> 0
Machine Learning Innovation Idea – Generalisation by same language model0(). y1 = model1(model0(X1)), y2 = model2(model0(X2)),y3 = model3(model0(X3)),… Where X1 = MNIST sample and X2 = Cifar10 sample And X3 = something else in image format. Image showing most linear recognition //Per
Towards a Machine Learning Super Battery – Are different laser printed hole patterns different in their ion properties like capacity and transport? Laser aided CD printed like battery// Per
Machine Learning Innovation – Air Condition Device – If There is a need of a compressor. I wonder if you can alter the surface function with a cylinder. Or better yet use a peltier element connected to the front end of the piston. So it cools the hot gas. //Per
Blender 3D Innovation Idea – What if you take three render models() and iterate until you have enough intersecting pixel color values. Could this set be the inital value basis of a differential equation that solves the overall image with super high resolution? Venn Diagram Usage
Towards A Super Battery – Inspired by ?saltpaper. Could sandpaper or paper with crystals be a no brainer thing of a super battery?

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site owner: Per Lindholm (peroglyfer@gmail.com)

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