The computing power of artificial intelligence is better than th
The principle of artificial intelligence can be simply described as:
Artificial Intelligence = mathematical calculation
the intelligence of the machine depends on the "algorithm". At first, it was found that 1 and 0 could be represented by the on and off of the circuit. If many circuits are organized together and arranged differently, they can express many things, such as color, shape and letters. In addition, the logic element (triode) forms the "input (press the switch button) - Calculation (current through the line) - output (light on)"
but in go, there is no way to exhaust it like this. No matter how powerful, there are limits. The possibility of go is far beyond the sum of all atoms in the universe (known). Even if we use the most powerful supercomputing at present, it will take tens of thousands of years. Until quantum computers were mature, electronic computers were almost impossible< Therefore, the programmer adds an extra layer of algorithm to the alpha dog:
A. calculate first: where you need to calculate, where you need to ignore
B. then, the calculation is targeted
-- in essence, it's computation. There is no "perception"
in step a, how can it judge "where to calculate"
this is the core problem of "artificial intelligence": the process of "learning"
think about it carefully. How do humans learn
all human cognition comes from summing up the observed phenomena and predicting the future according to the law of summing up
when you see a four legged, short haired, medium-sized, long mouthed, barking animal named dog, you will classify all similar objects you will see in the future as dogs< However, the way of machine learning is qualitatively different from that of human beings:
by observing a few features, human beings can infer most of the unknowns. Take one corner and turn three
the machine must observe many dogs to know whether the running dog is a dog
can such a stupid machine be expected to rule mankind
it's just relying on computing power! Strength is the key to success
specifically, its "learning" algorithm is called "neural network" (more bluffing)< It needs two preconditions:
1. Eat a lot of data to try and error, and graally adjust its accuracy; 2
2. The more layers of neural network, the more accurate the calculation (with limit), and the greater the calculation force
therefore, neural network has been used for many years (it was also called "perceptron" at that time). However, limited by the amount of data and computing power, it has not developed
it sounds like neural networks don't know where the high end is! This once again tells us how important it is for us to have a nice name
now, these two conditions have been met big data and cloud computing. Who has data, who can do AI< At present, the common application fields of AI are as follows:
Image Recognition (security recognition, fingerprint, beauty, image search, medical image diagnosis) uses "convolutional neural network (CNN)", which mainly extracts features of spatial dimension to identify images
natural language processing (human-computer conversation, translation) uses "recurrent neural network (RNN)", which mainly extracts the features of time dimension. Because there is a sequence of words, the time when words appear determines the meaning
the design level of neural network algorithm determines its ability to depict reality. Wu Enda, the top Daniel, once designed convolution layers up to 100 layers (too many layers are prone to over fitting problems)
when we deeply understand the meaning of calculation: there are clear mathematical laws. Then,
the world has quantum (random) characteristics, which determines the theoretical limitations of computer—— In fact, computers can't even generate real random numbers
-- machines are still clumsy
for more in-depth AI knowledge, you can ask in private letters
to be more direct, I probably know about the salary. Generally speaking, Party A does not set up this position in Europe and America of Beijing, Shanghai, Guangzhou and Shenzhen. Because it's either outsourcing or looking abroad. If it's a state-owned enterprise or a general foreign enterprise, it ranges from thousands to 10000, depending on your experience. If it is Party B, it seems that there are not many jobs to be recruited
in a word, if your character is slow and you don't have any ideas, this one is suitable for the elderly. If not, I advise you to do something else.
Accrual basis is a system used to deal with economic business
It is based on whether the expenses and income incurred in the current accounting period should be included in the current profit and loss It is based on when the expenses and income increasedring the accounting period should be recorded into the offers
and losses of the current period
[cash basis]
meaning: cash basis As the calculation standard
The cash basis is a method to determine the income and payment in the current accounting period According to the cash basis, as long as all the funds actually received or paid in the current period are treated as income and expenses of the current period, no matter whether they occur sooner or later or whether they should be borne by the current periodExplain inEnglish：
The cash payment is a way to determine the earnings and pay in this accounting period.
it' S a method of accounting in which each item is
entered as payments are received or made The biggest difference between the accrual basis and cash basis is the transaction record
accrual basis requires companies to record transactions as they occur
Cash basis records transactions whenever cash changes hands ring a transaction Another difference between cash basis and cash basis is cash flow statementaccrual basis is unable to track cash flows accurately