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Pure mathematics

Machine learning
Wow!
I took a graduate course in neural networks. I know that this discipline is used in machine learning, but I have never used it myself for control systems design, although this is another field where neural networks are very useful. There are cluster algorithms as well, but I I don't know much about them.
 
Neural networks are a type of machine learning algorithm. I make those for robots.
New York City Police Department use robotic dogs to check dangerous places. These robots are made by Boston Dynamics located in Boston, US. I don't k now which European companies produce robots.
 
New York City Police Department use robotic dogs to check dangerous places. These robots are made by Boston Dynamics located in Boston, US. I don't k now which European companies produce robots.
I work at a university right now, but robot is a rather general term, there are the Boston Dynamics robots, there are kitchen robots, there are robots in factories and for laparoscopy. Almost none of them are autonomous in the sense that they make decisions like the dogs I suppose do - ir autonomous vehicles. There is a large use of machine vision in various devices, all the major tech companies use machine learning nowadays.
 
My sons first position was robots packaging cigarettes, wondered why on first day people treated him as a bit of strange, found out later the robs had replaced people.
 
Regression theory/analysis and, interpolation. I think regression theory is fascinating, so hard to prove but you can find patterns. I think it is fun because you do not know what you will find and the cause may not be at all what it obviously seemed. One of my favorite simple examples is, "The Oscar Curse", actors who win Academy Awards then their career takes a downturn. It is not post hoc ergo propter hoc.

I know interpolation is different, it can only involve numbers, technically but I feel they are strongly related. Heuristics guessing the future pattern based on past behavior but with interpolation, is it not also guessing based on behavior (patterns)? It does not know the numbers in-between, it is estimating what they would likely be. So again, guessing based on patterns. I cannot prove I am right but I feel such a strong relationship, like they could both be used to work on the same problem.
 
I work at a university right now, but robot is a rather general term, there are the Boston Dynamics robots, there are kitchen robots, there are robots in factories and for laparoscopy. Almost none of them are autonomous in the sense that they make decisions like the dogs I suppose do - ir autonomous vehicles. There is a large use of machine vision in various devices, all the major tech companies use machine learning nowadays.
What is the difference, if any, between machine learning and AI ?
 
My brother wrote code to solve a seventh order polynomial, takes a minimum of a pentium chip to resolve, unfortunately He locked it in a military cipher.

 
I have mixed feelings about Gödel. On one hand, he had proved that a modern system of arithmetic (some extended it to the entire body of math) is incomplete, there is no objection to that. But some of his fans have extended his assertion to physics, which is, in my view, totally unrealistic. Although physics is heavily dependent on math, it is also dependent on experimental data in contrast to the math with its abstract logical deductions.
 
Physics has limits to length, math is infinite so pi has limited number of digits once you reach Planck that's it.
 

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