#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 // Per

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.

Machine Learning Physics – Atom forces guess – Maybe the quantum particles need to flee the incoming electron in the atom shell paths. Teleport into the core thats how the atoms knows its surroundings. The electron decides which quantum particles to teleport back for indata //Per

Machine Learning Physics – Future Industry – Product atom assembly – Forces between atoms in a metal are self-learned. Thats my guess. The atoms themselves know the finer matrices to fit together. Self-learned forces connect better. //Per

Python idea – Can you ?python code loops like an atom. Horizontal and vertical then maybe we can understand information physics. // Per

Covid19 – Could corona virus be a Finite Machine Virus? like a flu cluster blob. Looks like an amoeba.

Machine Learning – Nothing is perfect – If perfect is defined as something that does not any aftertouch then wait until you meet plants. So a model function might need information for consumption under the period of its use. Split the trainingset X into better groups by yt(i) = KMeans

Peace water Idea – #Fantasy#Farming – Imagine a fantasy world where fruits and veggies live in happiness (insects). Tree applemelons => !!!Tree-melonrice rice inside water melons!!! // Per

#Machine#Learning – #Quantum functions – Take an equation like x²+y²=z² => q(x,y,z)= x² + y² – z². Insert x,y,z = rand(3,100…00) to calculate all solution via histogram transfer classifcation. Probability at its fastest. // SUper Wow

Machine Learning Math – An equation could give an answer that is true and false. Ex. 3 and 3.0 are integer and float. They are the same number sort of but are of different classes. // Per

Super Derivatives – Along came a derivative an infitesimal incriment that amplified corrected the guess.

Win against Covid – MIT Cough like app for schools, restaurants and work. Start the app on the phone, cough, get a result with ?98.5% accuracy. Its not 100% but enough to stop a pandemic. #svpol#COVID19#UnitedStates

Cyber #Security – Machine Learning – Based on #histogram of random looking data to function output could you inspect the output from each layer and check the functions used. Do a md5 sum of the functions for indication of ?quantum manipulation in your machine learning model //Per

Python Beginner – To run a filename.py from the terminal after starting python.

Write this command >>>exec(open(“filename.py”).read())

to get to the variables for easy debug. Please change google to include this exec line.

Machine Learning Math – Perfect sin(x) for large x? Simple use np.argmin(loss) where loss = (y-yt)**2 and yt = mean value of 100+ sin evals from 0..2pi // Per

Machine Learning Idea – Convert data points yi from a histogram plt.hist(yi,100) to a function y(x). Wow

Machine Learning Math – guess – Functions are objects that has the same light spectrum. Guess. Similar function similar histogram from np.random.randn(10000)? Solve equations by looking at the histogram from random input? Classify each hist cluster after a function. sin(x),x**2,x

Machine Learning New Math – Deep Layer Linear Algebra. Solve problems in reduced coeffient space. Since quadratic matrices are too large. Represent the problem in two or three layers with reduction of parameters. // WOW Per

Machine Learning Complex Numbers guess – How many layers does it take to represent complex numbers? layer1 x = sqrt(-1) to y representation in layer2. One layer number can represent complex if its quadratic. Then two layers to reduce the coeffients greatly. x = model(X) and x->X.

Machine Learning – 3 layer Fourier Series Coeffients. Since you can iterate 1 sample with a perceptron of 3 layers to get the x = X. A fourier version with 3 layers can be developed. Not just one layer of complex coeffients. Could complex coffient vector be 2 non linear layers?

#Covid19 interesting home treatment – Gargle with small pieces of bana inside peel scrapings. The idea is that the inside of the banana peel protects the banana. Anti virus? Gargle the cold water with only small pieces of inside banana scrapings. Could inspire covid cure?

Lorenz Chaos Equation – I got more chaos from Lorenz differential equation. Setting an inital value for rho = 28 then 0 and oscillating the system to 0 and giving life to the derivate at sin(t)<0.9 gives // Per