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Monthly Archives: February 2019

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Machine Learning Invention Speaker Piston Cylinder – Where Every There Is Pressure To Convert Heat Into Work. I wonder if you can have a speaker with anti sound for ?higher efficiency. So you have a piston and a metal speaker in the cylinder. With iterated sounds for more work.So you ?can run a passenger plane with a small number of fuel piston-sound engines to electric motors

February 27, 2019 Per Lindholm
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Machine Learning – Select Reasons – A reason could be select elements in A that is equal to B. Closer to the truth. A=B. Another reason could be select elements which are close to a regression line of two or more model_i() outputs. So a reason could be an equation Ax=b.

February 27, 2019 Per Lindholm
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Machine Learning Physics Fusion Innovation Strategy – Are there co-inventions we can develop to get to fusion faster? Like getting over local minimas like with the car batteries and overhead wires?

February 26, 2019 Per Lindholm
Future generation starting at a higher level. Look back and picture beutify the process
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Machine Learning Test – Gray To Color. Cheat method. Probability more closer to the truth for small steps.

February 24, 2019 Per Lindholm
Not so big. But you can see colors emerging.
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Machine Learning Innovation – Cheat a little – You can learn by y = model(X) and update or you can occasionly cheat by y = np.random.rand() + yt.

February 24, 2019 Per Lindholm
every others simulated learning by a little cheating
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Machine Learning Math – Two ore more equal signs – x + y = x + y = x + y is True then there is a possibility for two or more equal signs. I think its just a cut off which x and y are possible // Per

February 24, 2019 Per Lindholm
to change the equation you probably need to change three sides of the equation

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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

February 22, 2019 Per Lindholm
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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?

February 22, 2019 Per Lindholm
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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.

February 22, 2019 Per Lindholm
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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()?

February 21, 2019 Per Lindholm
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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.

February 21, 2019 Per Lindholm
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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.

February 21, 2019 Per Lindholm
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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

February 21, 2019 Per Lindholm
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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.

February 21, 2019 Per Lindholm
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Machine Learning Idea – Using GAN asking to solve an equation. Showing x,y,z as the iterate towards the answer // Per

February 21, 2019 Per Lindholm
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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

February 18, 2019 Per Lindholm
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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

February 16, 2019 Per Lindholm
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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

February 15, 2019 Per Lindholm
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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

February 14, 2019 Per Lindholm
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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

February 14, 2019 Per Lindholm
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Towards A Super Battery – Inspired by ?saltpaper. Could sandpaper or paper with crystals be a no brainer thing of a super battery?

February 13, 2019 Per Lindholm
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Machine Learning Physics Idea – Predicting simulated turbulence with a w = model(rnge()).

February 13, 2019 Per Lindholm
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Machine Learning Math Idea – choice_division(a,b). Where you get a rest that moves between the even parts. Dynamic object?

February 13, 2019 Per Lindholm
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Machine Learning Physics – My most important tweet ever. Small fusion so that we have time and money to get the data samples. Million+?

February 10, 2019 Per Lindholm
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Machine Learning Complex Math – Doing some complex root finding with machine learning model() and chainer framework. y**2 = 1+1j gives y = 1.0986842+0.45508987j wow

February 10, 2019 Per Lindholm

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Ideas Are Free To Use As Long As You Give Me Credit

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

:wow

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  • !!!Fundamental Nature Mathematics – Dependent on the function. From which function a number comes from gives different results. Ex. g(x)=a and h(x)=a but f(g(x))=z and f(h(x)) = w. Biased mathematics //Per
  • Free is sweet – Give free hot steam inhalation devices. Like water boilers and pot. Save money later on recovered business time. Save money by getting people doing steam inhalation. Take out 1 billion and invest in steam inhalation. Its THat simple. //Per #Covid19 #Sweden #USA
  • #Corona Try new natural disinfectants for the flooring. Natural substancies like salt, lemon have 1000+ other functions than killing the virus. Like making it easier for the immunesystem to fight the virus. If its a possibility the chances a natural floor remedy has it. //Per
  • #Covid19 Vaccines precursor information needed for lethal sideaffects. You don’t take the vaccine like some sort of lottery ticket but a spit in a cup to see if you have Any chance of getting a bad sideeffect at all. Covid19 vaccine innovation at its best. //Per
  • Super Mega Computer – Would it be possible to create a continous stacked CPU using QM. Each CPU is a 2D matrix layer in a model function with quantum particle transmission between the CPU layers. Voila a super mega computer. Creator Processor. Solves nonlinear singularities //Per
  • Physics guess – If x0 is an initial value then x1 must be plus or minus incriment dx. That is. Up or down from x0. Set every value of up and down equal to infitesimal delta then #quantum #particles solves a #differential #equation. Namely choose up or down by teleportation. //Per
  • Jul – Camera trick blur. Should be automatic I think.
  • #Coronasverige- Have tried very small amounts of salt in milk and heated in the micro. Works as a home treatment. Only in hot milk you can have very little salt and drink. Only in milk not in water.
  • #Covid19 #Enhance #temperature readings. Perhaps a small piece of salt could reveal a different signature of covid19 infection. For detecting Non Symptomatics. Eat a very little salt flake then take a temperature reading before and after salt. //Per
  • Fusion guess – missing tweet – I guess its possible to mix tiny amounts of hydrogen in chemical fuel to create a more efficient electric generator. // Per
  • Idea – The reason for the redshift could be to sustain universe function. If the universe expands then everything works in the direction of protecting life. Maybe it collects teleported heat that is the byproduct from star calculation for the expansion. Many coeffients needs to be calculated and it is not free.
  • Quantum Internet guess – Two antennas that has been magnetized by the same magnet might have together properties. Thereby quantum teleportation enhanced internet. Worth checking out? // Per
  • #Lindholm #Super #Intelligence #Battery – Simulate massive amount of surface area with #glasfibers inside the battery. Assume all surfaces areas have light as input. Massive gain? // Per
  • Teach math with python – 4*(1+np.sum([-1/(x)+1/(x+2) for x in range(3,10000000,4)])) 3.1415928535897537 compare np.pi = 3.141592653589793
  • Machine Learning Physics – Fusion finally – The atoms for fusion needs to have shared their quantum particles in a molecule so they can work together better. Quantum particles are data to the core. Thats my guess. A molecule pair of hydrogen.

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