# Guess – In machine learning math there is a connection between complex numbers and variation. So in F.sum(X) numbers. They to have variation in X. So there is a possibility for more variation in matrix multiplication other than F.sum() // Per

Guess – In machine learning math there is a connection between complex numbers and variation. So in F.sum(X) numbers. They to have variation in X. So there is a possibility for more variation in matrix multiplication other than F.sum() // Per

# Machine Learning Battery Idea – Treat ions as if they were ML models(). Could things be added to make the ion models make better predictions. Is there battery music for better predictions within. // Per

Machine Learning Battery Idea – Treat ions as if they were ML models(). Could things be added to make the ion models make better predictions. Is there battery music for better predictions within. // Per

# If machine learning physics is something then antimatter is just a possibility. 0*number = 0 but what if you invent “Event numbers”. If anti number + number = anti number event. // Per

If machine learning physics is something then antimatter is just a possibility. 0*number = 0 but what if you invent “Event numbers”. If anti number + number = anti number event.

MAchine Learning math adapts so its inventive not so much a discovery

// Per

# Machine Learning Innovation – Since frequencies don’t change. They can then be used as universal layer loss function values. So each layer is not allowed to change the frequency. You use that as a limiter for each layer. Everything in the universe is enabling larger models // Per

Machine Learning Innovation – Since frequencies don’t change. They can then be used as universal layer loss function values. So each layer is not allowed to change the frequency. You use that as a limiter for each layer. Everything in the universe is enabling larger models // Per

# Twitter idea – Use a machine learning model() to allow spell corrections and missing words. allowed = 0 or 1 = model(tweet). Just an indicator not if statements // Per

Twitter idea – Use a machine learning model() to allow spell corrections and missing words. allowed = 0 or 1 = model(tweet). Just an indicator not if statements // Per

# Machine Learning Battery Innovation Food-Mimicry – Does there exist something like food-mimicry for getting inspiration for batteries. Are there general problems that would be the same. Both are heated. Do spices have other functions in batteries. // Per

Machine Learning Battery Innovation Food-Mimicry – Does there exist something like food-mimicry for getting inspiration for batteries. Are there general problems that would be the same. Both are heated. Do spices have other functions in batteries. // Per

# Machine Learning Electric Plane Innovation – Use machine learning model() to mitigate beam bending of the wings. To know when to use power that is. Every reltative position and event in the plane body must coincide with the motors. // Per

Machine Learning Electric Plane Innovation – Use machine learning model() to mitigate beam bending of the wings. To know when to use power that is. Every reltative position and event in the plane body must coincide with the motors. // Per

# Machine Learning Innovation – What if .Adam or .SGD has a 97%efficiency rate. How do we model a soft update optimizer?

Machine Learning Innovation – What if .Adam or .SGD has a 97%efficiency rate. How do we model a soft update optimizer?

# Math Innovation Guess – Could the continuum be augmented with free fall limited functions. Functions similar to chains. Limited freefall functions. // Per

Math Innovation Guess – Could the continuum be augmented with free fall limited functions. Functions similar to chains. Limited freefall functions. // Per