Software for testing AI computing power

2. AI is a very good major. The most popular employment direction is mainly in IT instry and financial instry. Other employment directions include: equipment manufacturing (from heavy equipment to smart home equipment), communication, etc. However, there will be a problem in the employment of this major in recent years<

why this major is good
the development trend of all walks of life is automation and intelligence. With the rapid development of computing power in recent years, some artificial intelligence theories accumulated in the past decades can be realized and reach the mature commercial level, thus driving this wave of artificial intelligence. Among them, the most typical theory supported by current technology is the neural network model proposed in 1943, and the most typical proct is image recognition

the major of artificial intelligence comes into being in response to this trend. Its most realistic purpose is to make full use of the existing theories and technologies to speed up the automation and intellectualization of various instries, and at the same time actively explore research for further breakthroughs

in the vernacular, there are gaps to fill and deficiencies to break through, so people need to work, so the proction and marketing of human resources are booming< br />

description of employment direction
to put it bluntly, automation and intelligence are the responsibilities of it, so naturally artificial intelligence is the most suitable major for IT instry. At present, it mainly focuses on the research and development of image recognition, voice and semantic recognition, content (including commodity) recommendation and other related procts

as for the financial instry, it is essentially a very complex nonlinear system, such as the stock market, which can be affected by many factors, so there has always been a quantitative dream in this instry, that is, to achieve maximum risk avoidance and profit maximization through mathematical model, and all of this will be automatically completed by computer. So there is a strong demand for artificial intelligence

as for equipment manufacturing, communication and other fields, artificial intelligence technology is expected to improve the level of automation and intelligence. This is easy to understand, such as the smart home device that has the closest relationship with ordinary people

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employment problems
this part belongs to the cold water. As mentioned earlier, this wave of artificial intelligence is e to enough computing power, so it is necessary to realize the theory of N years ago. But this time, there are few mature technologies, mainly image recognition, speech and semantic recognition. The latter is not very mature (speech recognition can only recognize Putonghua, semantic recognition is not very mature). In addition, there are some recommendation related data analysis & mining technology, and so on

these mature technologies have been rapidly developed into common platforms or procts, such as Shangtang's face recognition procts, no matter Unicorn or head company

then there will not be many opportunities for latecomers. This is also the reason why Li Kaifu said in 2018 that a large number of AI companies will go bankrupt 18 months later - and this time he was right

there are only two ways to change this situation: 1) theoretical breakthrough again; 2) Reforming and optimizing mature technology; 3) Apply technology to specific areas or scenarios. For example, automatic recognition of garbage classification based on image recognition. 2) And 3) there are still many opportunities and gaps; And 1) it also needs top talents to complete. So even if there are these problems, it is still a good major.

3. It is best to buy a complete set of video teaching courses. This type of curriculum is systematic, and the learning effect will be better. And in idle fish net and other related websites to buy words, the price is relatively low.

4. Now only AI programs have more software. In a broad sense, all software programs now have AI functions, and the rest are only the differences between high and low end.

5. As far as I know, their AI detection software uses the current cutting-edge algorithms such as artificial intelligence, machine learning, deep learning, deep forest, etc. they are very professional in this aspect and can be regarded as a big bull in the instry.

6. Absrtact: at present, users put forward higher and higher requirements for the quality of software developed by software enterprises. So in this context, the birth of a new occupation - "software testing engineer" occupation. Especially in recent 2-3 years, more and more people have joined or will join this profession. So as a software testing engineer, how can we quickly find bugs in software? The following is the author's experience in software testing for many years. According to the author's point of view: those who do not meet the needs of users, or cause inconvenience to users in the process of use, all think it is a bug. Although the words are a bit extreme, the reality is like this. So for the new software testing novice, quickly find out the bugs in the software, the ideas are as follows: 1, as soon as possible familiar with the company's proct business, such as your company ERP software, you must quickly familiar with the EPR business process; For example, your company does court software, so you must be familiar with the process of court trial. Only when you are familiar with the business process of the proct, can you quickly find out some important defects in the software, and the software defects you find are valuable. Otherwise, even if you can find some software defects, they are pure software defects, which are of little value. 2. Think of yourself as a user, think of yourself as a user to use the system. For example, is this how you operate in the process of using the system? 2.1 for example, in a large number of software interfaces that require user input, some users prefer to use the tab key and use the full keyboard input; At this point, the correct interface should take the order from left to right, from top to bottom. 2.2 for example, some users like to use shortcut keys (CTR + C, CTR + V, CTR + F), but in reality, the shortcut keys of some developed software do not work at all. 2.3 for example, when the software needs the information entered by the user (especially when filling in the personal data), all the required items should be marked with * and other eye-catching signs to let the user know the place that must be filled in. 2.4 when no value is selected in the drop-down box, there should be a default value; And to check more than one drop-down box in the program, because in many cases the drop-down box can not get the value. 3. Be good at doubting and don't believe in experts. There are no absolutely right things in the world. There are always mistakes. They are rebellious. What others think is impossible, but I think it is possible. Others think it's right, but I don't think it's right. If you think that a programmer or some programmer is of high level, there should be no problem with what he wrote, then I would say that you are wrong, so it is easy to miss bugs in the software. Because program developers are ordinary people after all, as long as they are people, they will make mistakes. 4. Don't let the developer's point of view: "users won't operate like this" convince yourself that in such a situation, you should stick to your own correct idea, and the other party will understand you later. For example, in a system of inputting employee's basic information, the system can save the age of employees as negative value, but not as judgment, in the database. At this time, you should not be convinced that the programmer's users will not operate in this way. You should stick to your correct view, and take this phenomenon as a bug. Be brave! Your choice will not be good! 5. In the process of software testing to track a data integrity process, in software testing to track a data integrity process, to ensure the correctness of the data, this is really too important: if you are testing a type of software sales: you should first order- à Warehousing- à Inventory- à Sales- à Query. First of all, you should make sure that the data flow is correct. If you are testing the court trial software, you have to close the case first- à File a case- à Send for approval- à Schele - trial- à Closing judgment- à Filing- à Query. In a word, track a data flow to ensure the correctness of the data. If the software that has been tested by you can't work in the business process, what's the difference between the software that has been tested by you and the software that hasn't been tested? 6. After the programmer submits a new version of the program, the tester should immediately communicate with the programmer about the modified function and what functions the new modified function affects. Take a simple example to illustrate: for example, in a piece of software, the program developer modifies a field information of a "member". As a tester, first of all, you need to test the function of "member". This is the first thing you need to do. In addition, you need to communicate with the programmer and ask them whether the new member's field will affect the member's sales function? Will it affect the query of members' previous sales records? If it has an impact on these functions, then these functions are the focus of your regression test, and they are also the most vulnerable to bugs. 7. Defect of interaction with users 7.1 when filling in the wrong data, it should be able to prompt the wrong location, so that the user knows that it is the wrong place to input data. 7.2 before deleting data, you must give a prompt to confirm whether to delete. 7.3 do not use mixed Chinese and English prompts in the software, for example, for an error prompt of a user's operation, do not use "error" or "error" at one time; We should use "succeeded" in one session and "success" in the other. In a word, we should be unified.

7. AI software of hi tech bone age measurement software is a measurement software using big data. The database samples are from 15 provinces and cities in China, and the average samples are from 18 age groups. The age distribution, geographical distribution, quality distribution and source breadth make AI procts have good universality and authority. So the results are very accurate.