# Monthly Archives: May 2019

# 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

# Important nature medicin Innovation – Curry spice mixed with milk and boiled water. The yellow color I guess has to do with cleaning your body of harmul stress.

# Food Innovation – White Point Cabbage and doritos chips. Wow what a feeling. Don’t eat much though. Pure gold. // Per

# Machine Learning Battery Guess – I wonder. If you ?decrease the pressure for a volume with a surfplus of electrons. Will the universe teleport extra electrons to that place to attract ions and restore? Some similar problem could exist where the universe need to compensate. //Per

# Machine Learning – Could mass rotations be thought of as classifications of machines. Since vectors in a field give solutions to diff. equations and triangles in a field give rise to mesh objects. So rotational circles should give something. Gears predict a certain machine. Vibrations predict new machines? //Per

# Machine Learning Innovation on the Rasberry Pi – Trace the hidden weight matrix with plt.scatter(http://model.l1.W.data [:,0],http://model.l1.W.data [0,:]) . Could lead to generalization if you compare the direction and stop the points takes. // Per

# Raspberry Pi 3 as my only computer. Just since its possible. // Per

# Browser Innovation – What about firefox and chromium with built in python interpreter. So you can code other languages than javascript in the browser. No change to web html but since you can solve problems with python. Why not. // 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