Corona Virus Idea – Lung problems – Use a paper to create a cone. Use the cone to take deep breaths of some boiling water vapor.I used salt in the boiling water since viruses does not like salt.A Thermos with boiled salt water could also work. Scissor cut of the top. Life saving.

Machine Learning Physics Idea – If d³y/dt³ does not exist. Then its blocked by determinism. Determinism could then be a machine learning model(t,y) function. To cancel the higher derivatives out. Maybe the model() is a gravity() function // Per

Gravity handling the internal particle planet system. Using deterministic filters for generating forces I guess.

Forest Fire Fighting speculation – Strategy – Extend the effect of water. Recurrent destructive model data. Assume fire is a like machine learning model. Collect data from affected fires by water. Then feed the rest of the fire with a model() function of that data. Extend H20 //Per

Corona Virus Speculation – If the virus is a model() function. Maybe its possible to kill with recurrent information? Resonance frequencies. Get data when the virus is affected. Say boiled saltwater. Feed the virus with a model2 function of that data. // Per

Numpy Math – Made a simple yet ?very powerful diff eq solver using matchvalue pairing to a generated linspace list. Showing Van der Pool with forced oscillation – wikipedia https://en.wikipedia.org/wiki/Van_der_Pol_oscillator

// Per Lindholm

yp = y*(1-rnd*2*t)

y = y+yp*delta_t

Y = np.linspace(y-0.15*y,y+0.15*y,N).reshape(-1) ids = np.argmin((np.repeat(y,N)-Y)**2)

y = Y[ids]

Would it be possible to add custom open source cars to the mix. The strategy is to have 10000 flavors of distro cars. Like having ubuntu, manjaro, raspbian, debian,.. as base classes. But different companies can modify it for their flavor. WOW just simply superior.

Tesla is years ahead? Strategy. Competitors could take advantage of opensource. Its winning strategy. Engage engineers worldwide. Opensource cars? If people can make money from them. They will win.

Asteroid Idea – Where does the asteroid get its energy from? From the Touring Halting problem? Put the stop energy in an innocent “for loop” and it becomes while True: So my guess is you have to use the fastest quantum computer to insert stop energy in the iteration loop. // Per

Smaller Than Every Genius Put Together – My theory of the smallest. Particles smaller than quantum would look as if they stood still. Since they are so small that moving at any speed still would not amount any significant distance. // Per

I amounts to a paradox. Which means it amounts to a machine learning model function. The distance traveled is a function of many input data. Basically feed the problem into an A.I and see what model pops out.

Theory of every Virus – Guess – Could viruses in general be using the «achilles heel of water». To keep cells alive even if they got some error. Water removes the error creating a entrance hole in the cell. I wonder if the error has to do with oxidants. Even cancer? // Per

Machine Learning Insight – The brain is wrinkled for a reason. To halt memory loss. Since you got parameters_in – parameters_out = parameters_sys. And the system is constant at the limit. Our models are looking like jet engine pipes when they should be wrinkled. // Per

The model ?should be constructed as if it seemed like it was expanding from the optimizers viewpoint but is a fixed size from the beginning. A Simulated Expansion Model.

Experiment – Measured the magnetic field Bx,By,Bz and classified with 85% success if the sample had a snotpaper in it wrapped in aluminum foil while boiling both in saltwater. X2,X3 = model2(yt+model3(rnd)) y = model(X*X2+X3) y2 = model(X) where X2->1 and X3->0

Corona Virus Idea – Cut your own handkerchief 100% cotton from a kitchen towel. Use as toilet paper for blowing your nose snot. Boil later in saltwater. Keep it with you in a freeze plastic bag moist with a little saltwater. Feel refreshed. Less virus iterations. // Per

Machine Learning Guide Answer + random search example – Predicted if magnetic data came from saltwater boil with aluminum foil wrap or an aluminum foil wrap around snot paper. Accuracy 17000 iterations 65% (Raspberry Pi 4 used). Did a mean reduction of data for overlap. Could be seeing some other difference. Difference in aluminium maybe. Again starter example.

Used random search and stored good values in the ?bias with model3. Then used a model2 with the train target as input. But output from model2(yt+model3(random)) is limes to 1. So input to the main model is X*X2 and X2 goes to one so one*X = X.

Toilet Paper replacement – Cut your own 100% cotten hankerchief. Boil in saltwater. Rinse in cold fresh water when done. Only 100% cotton. For reuse. Boiling is in saltwater is the one thing viruses hate. That is to get that cure fresh feeling. Boil the snot. // Per

Idea Starter – Did a machine learning model to detect something about a virus from signals from magnetic fields. Can you classify a persons snot tissue under different magnetic fields. With and without boiling in saltwater. 73% accuracy from the phone via data csv. Just a starter. Update: Fully overlapping data.

Machine Learning Physics – Measuring the magnet field with the phone. I see a random looking flip with (max,max-1) this could be like (1,0) in digital form. You use random flips to classify between two signals. One with an error and one without.Could magnetic field do self learn?

Idea – Do a machine learning model to detect something about the corona virus from signals from magnetic fields (max,max-constant) mapped to (1,0). Can you classify a persons snot tissue under different magnetic fields. With and without boiling saltwater.

Detected two different noise characters. One flat and one with much higher amplitude flips. If you got a flat signal it still has the (max,max-1) flipping going on. So this image might be a disturbance signal. So there has got to be a way to create this disturbance. Magnetics in a harddrive resets the memory so mem in the virus might be resetted?

Desalination Science Guess-My idea is to monitor the noise from quantum computing when boiling saltwater. Use that as label=1 and fresh non desalinated water as label=0. Learn that random flip to get a machine learning model. Then use that model to classify desalinated water between 0.0 and 1.0

Machine learning – Space Determinism – Assume it depends on the distance to the parameter calculation source. The sun determines the determinism for our solar system. As the relationship between the suns core and the outer surface. Since the outer surface is locked in movement.

Einstein moment – The number of parameters that fits between the core and the outer surface of the sun determines how it can stand still.

Worth a try.

Maybe I can solve the virus problem a little. Keep a sealed thermos with boiled hot saltwater at all times. Then put the snot paper in the thermos. It will keep virus from iterating. Guess

Mathematical Virus – To get a better overview of the possibilities. What is a mathematical virus and how could it work? When does a virus need to integrate, derivate, classify, predict, add, matrix equation solve, whats the input X, outputs y, series iterate to get functions,..

Could a medical that changes its signature randomly to avoid being classified work. I assume the spike proteins has some variations in its chemical that it mix with the outer substances to get data augmentation. More data from a single sample. The respons from functions applied.

Electricity tastes from a 9V battery a little salty. Salt has to do with viruses I think. You can create randomness with even small electric voltages. So this might be a way to probe the virus. A medical that has an electric component that changes ?randomly to avoid detection?