This article attempts to answer these questions and introduce the current field of practical application of artificial intelligence. It also gives readers who are interested in AI and are ready to contact AI, whether it is learning, work or entrepreneurship.
Some basic issues
Before giving specific examples, let's talk about some of the common basic issues.
1. What is the purpose and significance of artificial intelligence?
The main purpose of AI now is to make people more lazy, increase production efficiency, and save valuable time. Of course, some people think that it will lead to a lot of unemployment, social instability and the like, in fact, do not worry about those, when there will always be a new career.
Regarding further laziness for humans, there are two examples:
Agricultural era with livestock farming, working so hard => tractors industrial age, a lot of effort => Internet era of large harvesting machine, science and culture, transgenic, improve productivity and dramatically reduce the workload => AI era from irrigation to grow vegetables To cook and wash the dishes can be made automatically by the machine, as long as people are responsible for eating.
In ancient times, access to information by bamboo lettering, less efficient low data => industrial age have ink printing, go to the library to find books so inefficient => age of the Internet using a search engine, enter a keyword, find the desired from the list, a list of Many items are still tired to find => Artificial intelligence era not only does not need the keyboard and the list, directly gives you the answer, but also can help you to accomplish the task directly.
2. Will the development of artificial intelligence meet bottlenecks in the near future?
The basis of artificial intelligence is computing power and data, and the core is the algorithm.
Image Source: IDC, China Merchants Securities
Let's look at whether the foundation is solid—computational power, GPU parallel computing, future quantum computing, faster chips, lower storage and computational costs, can meet the development needs; in terms of data, the more data, the better the computer is. Find out new rules and increase intelligence levels. The total amount of data will be doubled every two years. By 2020, the digital universe will reach 40,000 EB to meet development needs. Even if the algorithm does not progress, use current technology to match new data. There can also be a huge application space - so the basis for development is no problem.
Image Source: IDC, China Merchants Securities
Let's take a look at the core, algorithm - the current AI has surpassed humans in many fields, such as image recognition, playing chess, etc., due to breakthroughs in machine learning. It can also use unsupervised self-learning to continuously improve itself. Generalized intelligence has basically been realized. ; various machine learning algorithms are constantly in different directions in-depth, for example DQN, RCN and so on; participation in research algorithms are also top technology companies such as Google, Microsoft, Facebook, Apple - I believe the elite will be able to Continue to promote AI's progress.
AI had had a "winter" of history, a large reason was the data, computing power, algorithms do not have, and now due to the rapid development of technology, with the situation was completely different, so widespread use of artificial intelligence is no longer the era Far.
On this current point in time, AI development is still at a very early stage in the AI's ability to continuously improve the technology available and some slowly applied to all sectors of the process, this process will gradually accelerate; for entrepreneurs, also now It is a good time to use and promote AI technology.
3. What is the artificial intelligence industry ecosystem?
The artificial intelligence industry ecosystem is divided into three layers: foundation, technology, and application.
Image Source: iResearch
High Voltage Capacitor Charging Power Supplies
High Voltage Capacitor Charging is a mainstream application of high-current high-voltage power supplies. The High-voltage Capacitor Charging power supplies are a kind of high-voltage DC Power Supplies specially designed to meet the requirements of capacitor charging or capacitor conditioning.
At present, iDealTek-Electronics' high-voltage capacitor charging power supplies are IGBT-based switching mode High Voltage Power Supplies. Compared with the traditional linear high-voltage power supplies, the switched-type capacitor charging high-voltage power supplies are featured for higher power density, higher efficiency, higher output response speed and faster protection start and self-recovery speed.
iDealTek-Electronics originally produced linear capacitor charging high-voltage power supplies. Based on years of experience in the capacitor industry, our current capacitor charging high voltage power supplies use 19-inch standard racks, 4U and 6U chassis, which facilitate the installation of integrated capacitor charging systems. The output power ranges from 2KW to 10KW with output voltage levels at 5KV / 10KV / 20KV / 30KV / 35KV / 40KV / 50KV / 60KV / 100KV with a complete protection function, which can deal with overvoltage, overcurrent, load discharge and other situations.
The output voltage and current of the power supply can be controlled and read through the front operation panel of the power supply. And, this series of high voltage capacitor charging power supplies are also equipped with RS485 / DB15 / DB50 interfaces as standard. Customers can edit the control software according to our communication protocol or apply 0-10V signals and dry contact signals on the interface according to the definition of the analog interface to achieve full control and monitoring of the power supply, such as high voltage start/stop, output settings and readings.
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