So the question was. Why is red red and so on.

Then could there exist a short circuit machine learning based processor that either has learned the most common ways to solve a short circuit or iterate a fast solution. Mobiles to Self Driving Electric Cars??

Constructive forces can make something. But like in a ?GAN machine learning network you need a discriminator force to shape it into something good. A destructive force. So I wonder. Could this be made into an engineering technique of some kind. For instance. Could it work for a fatigue engineering problems?

I mean. I think GAN networks produce the most advanced type of images. So it ?could work for producing fatigue predictions.

Similar To F-Droid. Could we have a Refugee Android App Repository? For supporting refugee apps.

My woman came up with this idea. I got sick today.

But if you want you can translate an image of a typical trashcan from an AI point of view. It could be like. Circular opening black trashcan.

Then you have something to innovate with. So perhaps you get narrow rectangular opening trashcan. That can be made from a plastic/paper shopping bag.

The idea is to make cheap to rent hotels for starter kit tiny home dog hotels. Perhaps for people previously unhoused. I know dog hotels are very expensive so here is a market.

What if the slit itself is charged. A battery sign looks like to plates. So why not a slit. One ( + ) and one ( – )?

I think one problem with deep learning is that if you add an ?odd looking training sample to the model(). Then it could ?perhaps deflect a little. Give off a little on the prediction accuracy.

So the idea is to check what the response new samples have on the already learned samples. Maybe its possible to have a system that senses deflection in the weights. One idea would be split the problem into two units and so on? Something similar to cells?

Basically you encode the labels with the error correcting fomula. Like the Hamming Code. Just google ecc error correcting code.

Then train. On the test set you can then verify a little that the classification is correct by computing the three parity bits from the data and compare. It should also be possible to correct a classification.

Here I got a data bit error [1]. 4 bits index [0,1,2,4] were data bits. The other 3 were parity bits.

The correct was y_test[1].

Since planet formation is an extreme event. Some heat from fusion processes is probably needed to ?melt the rocks. These being the building materials.

Therefor there should exist plenty of ideas that can be derived from planet formation.

For instance. Should the hydrogen in fusion be cold stored at -space temperatures. What is the temperature preparation for fusion?

To build peace. I think the business strategy could work. Basically since people need money. Why not choose business ideas that are peace building.

Expansion:

Like if planets were made from gas batteries?

For efficiency sake. Could a physical super battery have a ?material cache layer? Im thinking there is not so much difference from a CPU. Energy in small portions is ?like information?