Monthly Archives: April 2018

Machine Learning Idea – Real World Suspension As 3D Additions To Machine learning

Everything that is physics is also just networks. Working together.

Then it could be a an idea to model some parts of the algorithm in a 3D modeler like Blender.

For instance I suspect you need simple simulated physical wheel suspension systems for periodic objects.

?Everything can be written in a periodic way. Then I suspect that using machine learning models. With lots of error correction. Could possible brake the network. I guess the process could then be improved with proven real world examples of say suspension. Breaking the network is similar to the error goes to inf.

I got this idea from mechanical inventions trying to solve simple network type problems like showing time. Maybe there exist some advantage in modeling some parts in a 3D simulator than trying to come up with a limited math function.

Machine Learning Idea – Add And Remove Noise Points By Different Distribution Functions

The idea is to see if there exist an idea to shape noise. Not only by adding points with random value but also to remove points according some other distribution.

The remove part is not as problematic as I think. What if you have a filled 2D plane and remove points according to the random function. First maybe you need to add some points. Then do some removal.

So instead of np.random.rand(100) or something like that I’m thinking a 2D image. With some adapted width and height as parameters to capture a noise image.

Hmm. Could be interesting to see if ?negative noise could be used in a generator(neg. Noise) GAN network.

Philosophy idea – Infinite Object Story

Just a story on how you can come up with ideas. A bit like philosophy.

Say you have a universe where you only have an add() function. Then what infinity objects could this universe have?

Assuming the universe have time. Then conquer up an idea object that would give you some similarity to the infinity idea.

So to get something non countable with the add() function. I imagine you use the add function like a counter in loop. Then you can just speed up the add process.

Pretty soon the number result will become unreadable or unrecognizable. Like a stop watch this will go towards something unrecognizable.

So you have some speed limit of recognition.

Then beyond the limit. I think you will have the situation that the add function will add to the number it can not recognize.

So this sounds like a random number which then is just an unrecognizable. Therefor unbiased to the time sample function.

Ultra Genius Idea – Light As GAN Miss-Classification For Electron Decisions

A quick speculation.

I was wondering. Could you take inspiration from ray tracing images and apply that to physics.

The other day I saw the One Pixel Attack Defeats Neural Networks | Two Minute Papers #240. So I wondered. How can this make sense to a network. I mean machine learning networks is for the universe.

So could a misclassification make sense? Well if misclassified output label makes sense. So could light change the decisions networks responsible for electron movement?

I mean. Maybe this is the reason for adversarial GAN miss classifications. Which in the light of light makes sense somehow.

Psychological Healing Idea – Always Keep The Blood Flow To The Brain Warm – If Cold Hands – Warm The Back, Your Spine With A Light Heat Fan

A quick idea for letting your brain heal your body.

Whenever you are cold. Feeling numb in the arm. I think this. Your brain needs to know you got its back. Don’t waste the brain resources.

So use a simple heat fan and direct a comfortable warmth on your back. This will help your brain heal. Keeping the blood warm takes to much effort otherwise.

Gravity Physics Speculation – Network Precision Is Key – Gravity Energy To Choose Between Two Positions

Since gravity is responsible for the position of earth. It would be irresponsible for the universe to leave it to a simple equation.

So it must be a stable Network Solution.

Maybe gravity is not a force. Gravity could be energy instead. Why? Since energy carries more functionality than a force. Much like a network function can assume *any function.

Then to get a force the mass network just calculates using the energy a new very little change in position. According to the random distance idea.

The random distance idea is used here to create a problem. Where does the ?atom exist relative to a boundary. A|A. So gravity energy is energy to a positioning network. The energy is used to settle this decision problem.

Choose between two positions requires lot of in data so here is where the precision comes in. It must be very accurate.

Machine Learning Speculation – Network Compression Ratio?? Water parameters?

From GAN network models I wonder. Since the generator depends on noise. How little noise is necessary to make it work.

Could we get it to work with a little as a single random data value, like a bit. Varying with time randomly.

So from this I speculate that there is an effective way to compress information. But requires perhaps a fast computing power.

So physically, water is important to life and water is a network. Since life is also complex. Water might be complex to. The weight parameters of water to sustain all life on the planet might be so large that it needs to be compressed somehow.

So what do I mean by water is needed for life. I guess that ?computing ready weight parameters in the water acts like the surrounding network between life networks.

?All contact surfaces to water needs water to sustain life.

Basically water is important.

Subtle Intelligence Idea – Perfect Representation vs Revealing Representation

Compare two images below and feel. What image gives you the most intelligent feeling?

For me its the flat shaded sphere image. Possibly because a perfect photo would be too amazing and a non perfect photo feels a little bit wrong. The amazing feeling does not give much information to the imagination. Which is The tool for intelligence.

Between these is the revealing image. The flat shaded one. The one that reveals how it works. A little any way. But still to the brain it makes all the difference.

Since Peace Is The Most Import Thing – What is A Peace Country Network?

Whenever you don’t know the answer, assume a network. So what does the peace country network look like?

What infrastructure do you need etc. Could creating a city result in a positive win win. Creating jobs. Also could reading peace as a school subject help. How do you change a troubled country to peace. What input to the network works?

Maybe peace is way more achievable than we think.

Gravity – Network Within A Network As Unsupervised Clustering?

Whenever you don’t know the answer, assume a network. Then for gravity you have at least three networks. The two masses and the in between space.

Then you can begin to speculate. In what sense does gravity make to all the networks.

Why and what reason could exist for masses to move?

In machine learning networks you have unsupervised clustering. Making groups of similar objects. So mass is a ?single class object.

The problem of gravity is then a physics network solution to single object clustering between mass and ?empty space. // Per Lindholm 2018-16-04

Battery Speculation – If The Electric Battery Is A Network. Is It Computing Unsupervised Classification?

A quick battery idea.

Since electric networks exist. Then surely the battery is a network. Then just because its possible for a network to calculate unsupervised clustering into groups.

Does it do this for some reason? Just because its beneficial somehow. To solve the problem.

Then how can the electric battery network be taken care of. Some further reason for new types of batteries perhaps.

Are there more properties of networks that can be translated to batteries?

Philosophy Idea – the (Problem, Question, Answer) triplet + Probability?

I guess there exist Problem, Question and Answer triplets that need to be adapted before solving. Problems are not always questions. Since you can ask different questions. They are  not always related to the problem.

Where in the triplet possibility does the relation lay. What I mean is.

To solve certain triplets the problem might have to downsized or up sized. I guess this could be said for the question and answer also.

Also. Can we be sure we got it right for every problem? There might be probabilities for the triplet. At least to the answer.

Mathematics Singularity Idea – Problem_Dependent_Division – All Possible Problems Are Not The Same

One interesting insight is that the set of all possible problems are not as compressible as mathematics assume. That is. Math and problems go hand in hand. Then since problems changes so could math or network math.

One such example is that of singularity. I speculate that math functions gets adapted to the problem. Not assuming the singularity problem are like every other problem. If you start at a singularity problem its perhaps a little bit harder. But otherwise I assume you approach the singularity from an easier problem.

So if you have a variable with a limited range from 0 to 9. Then any function that carries that variable outside its range would impose a problem. Likewise I think the singularity is related to infinity as its an mathematical idea number. So the solution to the singularity is also an idea.

So here is what I propose. Under smart network mathematics you could replace functions with network model functions or network ideas.

So for a problem of 1/0 you replace / with a different network_division(a,b) function. This particular division model function knows your entire problem and adapts its result.

The result is depending on your problem so we got a new idea. There is always a (problem, math model) pair that exists. So a math model could be a machine learning model that solves division near the problem specific singularity.


Peace Idea – You Get The ?Most Good Results For The Money From Empowering Poor People In Russia and America. Help Them Build Affordable Houses And Let Them Help Build Up Their Country Again

Why not let dignity and peace win. I believe a key to peace lays with the poor people. Those on the brink of becoming homeless. Empower them regardless of political relations. I believe this strategy is a smart way for peace and the people.

My Mathematical Idea – Complex Noise Number, a+i*model(noise), inital guess

Complex numbers solves a particular problem. My idea is that this the complex part can be expanded to solve other problems. However finding that particular problem is hard.

So assume the problem requires a network to be able to solve it. Inspired by this the complex part could be a machine learning model of noise, model(noise).

I assume a model with noise as input requires a discriminator model and some iteration to get a good result.

You should then be able to iterate the number to change the parameters according to the error discriminator system.

If successful the model will have produced a good solution.

Philosophical Possibility Idea – Line Shaped Noise – Classification Of Line Direction And Length

As a philosophical possibility its possible to have noise as classification data in a graph although not visible as in my below sketch.

So my idea is that you divide the data. The plot. Into a number of lines. Then calculate something about the would be noise that classified gave the lines its directions and length.

The idea could have predictive capability I think perhaps.

Line plot shaped by classification of noise – Idea by Per Lindholm

Machine Learning Math – What Is A Constant?

In machine learning ?every in-data are assumed to make sense to the target label. You update and learn the weights of the model. According to errors you get from the comparison of the target and the prediction.

From this I can guess that every decimal in a constant like pi should make sense to a network.

For me its close to saying that there are many significant decimals at least for pi.

So then should every decimal make sense to a network? Are there a constants which has an infinite number of significant decimals?