You split a problem to solve it more easily. Therefor I wonder if the universe is really a big energy problem. Splitted into many small solvable objects. I mean. Would this mean it stores energy in many small singularities. Since a singularities could have high value. Like divided by zero. This would be a managable way to store lots of energy in a safe way.
So the problem of the universe is safe energy storage?
To cool yourself during these very hot temperatures why not mimic the situation when you were at the lake. Just fill a bucket with mildly cold water for a foot bath.
A quick idea.
Scan or show your washable fabric shopping bag and get discount on selected items. Like you get from being a member of various stores anyway.
I wonder if this learning technique could work. The idea is to split the data into two or more model() groups. Each belonging to a separate model().
So the way I would test this would be to look at some sort of ?confidence score for each classification the two models could do. Like in the long vector binary encoding. Where you want 1.0 and the rest to be zeros.
So then the idea is to move the sample data into the model group with the highest confidence. This way the two models compete to have data in its group.
Then if I get 100% confidence for each model for training data within its group. Then the sample data transformation output from the test set would be selected from the model with the highest confidence score.
My first try (jupyter notebook) Sort Data into Model() Groups
98.11% Accuracy score
A quick idea.
Could information be an energy carrier? As if a network of potential energy could be larger than its sum.
As a cool idea. I suspect gaming can still be done locally over a LAN network. I remember playing Doom over the school network. Much fun.
So the suggestion is to see if maybe ?retro gaming or new games could be played on mobiles for group of people in a LAN network.
I think this is possible. With some ?12 volts motor drive a spinning disk for clay forming.
So the idea is for solar panel charged battery powered pottery.
I managed to fix some photos that were blurry simply using a super resolution machine learning algorithm.
The idea is simple. Down scale the photo. Until you don’t see the blurriness. Then apply super resolution. Its as simple as that. The result is not any way perfect but its better.
Super resolution should be in gimp I think.
Since machine learned super-resolution worked. Why should not do the same training for images with visible blockiness.
The idea is to degrade or hard compress images using some image compression algorithm to blockiness level. Use those images as the training and then as the target use the original images.
If this works than it would be possible to compress images to near ?the maximum.
The maximum ?would be unsupervised labeling of small objects in the image to text form and then machine learning to imagine what the image would look like.
So now you have a machine learning layer on top of chosen algorithm.
Perhaps this could work on youtube also. It would be possible to compress video on quality, not just on resolution. Then use the machine learning layer to correct the blockiness and resolution.
I think this is the way to do it. You have a standard algorithm in the back and a machine learning layer on top of it.
The idea is for emission free cities. Why not have environmental bonuses. For cities to work hard to become an all electric car city. So the idea is to split the problem.
A quick idea.
If Hot Water Freeze Faster Than Cold. Do Pretreated Air Also Cool Faster?
The reason for this effect I believe is optimization for life. The fluid will ?try to get an acceptable mean temperature. By cooling fast the mean will be lower if then the temperature sky rockets again.
As the weather gets very hot. One invention that is missing is an air cooling device. Run by solar. Small enough that it does not cost that much.
For such climate inventions to be built I wonder if we need to connect engineers online.
So the idea is for an online engineer volunteering site with connected online prototype manufacturing site.
Just because we need it.
I wonder. My little laptop goes super hot every time I use something like LSTM. I guess it could be the cache. However. For many processors in a room this could make a substantial difference I guess.
So the idea is for optimize algorithms with machine learning for low energy consumption or heat dissipation. Could there be a “lagom” speed for the amount of heat?
Homelessness is a global problem. Tiny houses is room over the head. Some privacy. A place to call your own.
I wonder. Could a global Humanitarian Innovation Fair help? I mean a small apartment can cost millions (SEK) but you get a tiny wooden house for a fraction of this cost.
Just a quick speculation.
Thinking about three-body problems. Since we got earth, the moon and the sun as a three-body problem. I wonder.
Is the three-body problem physics-information important? Is it used as a feature in the universe?
“Unlike two-body problems, there is no general closed-form solution for every condition, and numerical methods are needed to solve these problems.”-wikipedia
Could this mean that the problem is close to non exact? Could this mean there is room for decisions making network for positions and velocity. I mean could the network choose.
Not familiar with the uncertainty principle but it is ?solved by letting a network choose. Kinda the same thing here. Could I guess be similar to my decision numbers. The problem of dividing an odd number into two. Where you have to choose which pile to get one more.
Since water is responsible for life and radio waves can affect life. As an alternative to 5G I thought why not research water network antennas?
Why not invest money where it will benefit us all. So the idea is to invest in ordinary size electric car taxis. For people who then can ride with zero emission in the cities.
I saw the Zbee electric rickshaw and I think they need an ordinary size electric car as compliment for the rickshaw.
This is idea keeps popping up in google results even tough I deleted it. Anyway not a good idea.
The idea is simple.
Since networks can handle difficult tasks. Networks are probably used everywhere in the universe. Field lines could with a little imagination look like a part of a network.
Therefor I wonder. Why do we have field lines? What sense do they make to a network. If they are used for information. Then a memory is needed. Then what type of memory?
From our own computer innovations we got different memory chips and speeds. Therefor I guess that an atom with its electric field needs fast information to keep itself in shape. Information is what was missing in physics equations.
Where as a gravitational field. There is more time for atom decision making. So a slower information update.
So maybe the force could be responsible for the acceleration of information ( the little mass ). With this I get a strong force where information might need to be updated quickly.
The idea is simple.
Since sand is made for digging. A probable universe invention would be sand shapes. So I imagine water in the desert would optimize its ground shape and sides. To prevent too much evaporation. To support life.
Looking at pictures of desert lakes. Pretty much everything I see I think are optimized but also perhaps it can take advantage of gravity from the water network.
A quick idea
Say you have some small number of sentences describing an idea. Rewrite the idea a couple of times. This will give me a small set of the same idea. Just written in different ways.
Then the plan is to generate the idea in a text-form. From a Discriminator and Generator network.
So you finally have D(G(input)) == True after ?many iterations.
My goal is to find an idea re-writer for hard to understand topics. The generator will output many versions of the text. You just need to understand one.
Maybe it is as easy as using similar words from a dictionary but with some special fitting.
Since networks can be build by mass and mass is the building blocks of the universe. I wonder. Do all laws containing mass also contain a network?
Then why not include the network in the equations. Gravity for example then ?becomes a more detailed law.
From this I guess that ?antimatter ?being another type of network would not interact gravitationally with matter. ?Since of annihilation. It would not be optimized for life. The gravitation result solution from a network ?can I guess be what is most suitable.
How would antimatter and matter ever separated in a safe way?
Why does a root system look like the way it does? What other functions does it have other than getting water from the soil?
Since a tree could withstand high winds. I wonder. Could the root system also handle stability. Does it sense gravity?
Whenever there many functions to handle I assume a network. Since complex ability is what networks are for. Therefor I guess the root system is a physical water network.
The philosophical interesting part is that water in tree roots. Are water separated. That is. Separated water is not a ?common configuration. So inventions based on that should not be in the set of probable inventions.
Another water network would be water between rocks.
This is my limited understanding of the weather network.
Pavement is not life optimized. So what can the sun do?. What parameters do the weather network have that can affect the pavement.
I guess its increases the heat. To create cracks.
Together with the rain it has now created a simple birdbath.
This is what I mean. Things are the way they are since nature needs to optimize for life. Or life would not exist.
So one idea to hold down the temperature on the pavement over time would be for us humans to optimize the surrounding for life. Why not a close by bird bath?
A quick idea.
If everything is smart. So should light also be smart.
This make me guess that light propagation is a cluster of randomly located photons. Why. Since it make sense to a network. That is. At near impact the light can make a decision from a formed interconnected network.
The decision could be to optimize the problem for better chances of for life.
So in a sense its a deep end connected network.