It could be that there is an error in their thinking about fusion. Using a large ?tokamak device and circulating energy at the same spot is wrong!
I think safe fusion starts with ultra small devices. No need to create a device which you feed energy into the grid with right away.
Since fusion is a difficult process the universe have had to be optimize to achieve it. Then from looking at the sun. I guess that you need a complex heat treatment before fusion.
A quick idea or rather a question really.
I often run into problems my machine learning skills cant handle. So I’m wondering if I go from problem to failed solution to quickly. Maybe there exist a way to transform my problem into a simpler one using machine learning.
Hmm. I think I can pinch the model so that it produces succesive ?simplifications.
If physics and chemistry is connected why is this so? Since you can ask a smart network object a why question. The connection ?should be that there exist a network problem that needs both physics and chemistry.
One such network problem is life.
Maybe since a machine learning network function can obtain ?any function. A network problem can assume any problem.
Going from different programming languages I do make some syntax errors. From this I will test if I can teach a machine learning network to correct my most common mistakes. Perhaps not correct but to prompt me a label with an example. Come to think of it. Maybe I could have a chat bot writing some hilarious jokes while I’m coding and getting errors.
So taking this further. Would it be possible to create an alternative to Google. I wonder if its possible to write the type of problem your trying to solve in a #comment. Containing the words you use if you search it on Google. Then you could let a program go through the #comments and suggest good examples. In some pretty fashion.
I was thinking. Why ”compress” information into a small number of weight parameters and also perform value prediction with them. This many jobs for the weights I think just makes it more difficult.
So I thought. Could you split the process of training. I mean. A time series could perhaps be split into several data series. Some sort of extra parameters.
What if the weights are not constants but stored in a time series themselves. Now that we have thought of a large storage space for parameters the training of them should also be made easier. What if they could contain errors. A good enough solution is better than no solution. So when when training the large parameter list we should only train those parameters that make sense. Otherwise it would take too long.
Even if you start helping one group. The probability increases for others to get help as the momentum and knowledge builds up in total. This because challenges are similar in some sense.
Take refugee housing. Going from tents to housing units is a big improvement. Similar problems exist for the homeless. Here you also have tiny houses from living on the street.
The next challenge is income. Jobs and entrepreneurship. Here you could help the largest group by thinking big. Because the need to innovate you build up knowledge. As this process progresses you apply the knowledge to every group.
So I thought. How could retail compete with online stores. What would I like.
I like going to theme parks so why not combine tiny house stores in a little village like simple theme park or ?Circus.
The idea here is to see if there is such a thing as a continuum method.
Let say you train a hidden layer network from X as input and X as output. This should converge pretty quickly. So I thought in a time series. Like the weather temperature. The overall the temperature series over a year have a characteristic look. Then if I start the network with its weights. Such that the network gives a temperature characteristic graph. Then I hope if I change the input data a little the weights only need to change a little.
It might be that the weight matrices need to be smooth and not so fragile.
The idea with this was to calculate predictions faster.
example of smooth weight matrices,syn0 and syn1. I used in a feedforward network with max(ErrorList) error function with fmin_slsqp optimation.
syn0 = syn0.reshape(32,32)
syn1 = syn1.reshape(16,16)
syn0 = sp.ndimage.filters.gaussian_filter(syn0, sigma=[1,1], mode=’constant’)
syn1 = sp.ndimage.filters.gaussian_filter(syn1, sigma=[1,1], mode=’constant’)
errorList[i] = np.sum((y – l2)**2)
maxError = np.max(errorList)
Anim showing succesive iterations of syn0
I cant say I know much about fuel cells. So when I looked at a fuel cell I wondered. Since the membranes are stacked. Have the system a similar problem of efficiency as stacked peltier elements?
If so then it might be an idea to use many small thin fuel cell units. Look at https://www.greenoptimistic.com/smallest-hydrogen-fuel-cell-20090113/ Something like that.
What if you can make a small fuel cell unit very efficient and scale that thousands of times. Could this large cluster power something more than electronics?
I mean to charge the electric car battery on the go or at stops.
Do not accept terrible conclusions. Here you can suggest several good ideas instead.
If a problem is too difficult. Then innovate ideas around other problems related to the discussed problem. It could be that many problems are related but it does not appear so at first.
I believe its harder to get stuck in bad thinking if you activate your brain. That is. To understand a new innovative idea. This instead of letting your brain feed on circulating negative information.
Consider 1 = 0.999…
Inspiration taken from this statement give me.
To think logical is the feeling of succeeding with a shortcut.
The information in the numbers according to the scientific notation is m * 10^n. So I had the idea that I in machine learning problems separate this information into two data columns.
I think this could be some kind of method but I haven’t fully tested it yet.
Got the exact same result after testing. Kinda strange.
How do you prevent beatings, property damage and improve student well being? Could there exist many innovations we have not thought of yet?
Prevention through connected after school activities?
Machine learning is the new so why not add machine learning algorithms to these office suits.
So with these you just mark training data columns and target value columns. Choose the model and fit. Then predict data from the model.
The idea is simple.
From an A.I. perspective we could use word associations. Just look in the dictionary for related words.
Take the electron for instance. It exists in our three dimensional world. Therefor it has movement like position, speed and acceleration.
But from an A.I. perspective you can recognize movement with other labels like bouncing.
So what invention could use a bouncing electron?
Since roads can get traffic stops. I wonder if the proposed drone transport system could use electric roads.
?One way could be to use a pantograph turned upside down as in a Swedish electric road project for cars.
The idea is to have a ?fast electric transport system where drones can recharge near electric roads with from these contact pantograph.
This way trucks and drones could work together.
This idea is dedicated to the Americans
What if the people of a country could get the Nobel Peace Prize. Some appreciation of fact they handled tragedies, challenges and all the in between with the best of heart and mind.