According to the US Wired magazine website, thanks to the strong promotion of Silicon Valley giants such as Google, Amazon and Facebook, artificial intelligence (AI) and machine learning have never been known to the public. In the concept of the average person, these two fashionable words seem to be used interchangeably, referring to advanced productivity that can replace human work.
However, although AI and machine learning are inextricably linked, the two are not the same thing.
AI is a branch of computer science, meaning its name (ArTIficial Intelligence) - aims to build a machine with artificial intelligence by the way. Stanford University defines "machine learning" as the ability to make a computer operate autonomously outside of manual programming. The two are inextricably linked, you need AI experts to build smart machines, and the participation of machine learning experts is indispensable for real intelligence.
Both Google and Nvidia are on the road to exploring machine learning. Their vision is to allow machines to eventually learn and think like humans, which is considered the key to the next wave of technological revolution.
The public is no stranger to the results of machine learning. In the past few decades, machine learning has spawned the fruits of “self-driving carsâ€, “precise speech recognition†and intelligent web search for the benefit of all. It even helps humans crack genetic code. However, under this series of incredible results, how does machine learning work?
Let's take a web search as an example. Let's say you want to search for "Wired" in Google, but you accidentally made it "Wored." In the case of a non-intelligent engine, the result of the return will of course make you aware of your mistakes, and then you will spend a few more seconds to search again with the correct spelling. Google's algorithm will record your "secondary search" situation. When someone makes the same spelling mistake later, Google will ask "Do you want 'Wired'?" and give the correct search. result. So, Google learned the automatic correction function.
The above is just a very basic "machine learning" case. In reality, scientists and researchers use more sophisticated machine learning to achieve things that were previously impossible. Programs learned from human experience can help scientists uncover the mystery of the operation of genes. Machine learning is used commercially to provide more accurate advertising and buying advice through analysis of consumer behavior, thereby dramatically increasing business profits. Other applications include image recognition, fraud prevention, and more.
Now you have basically understood how machine learning is all about. So what does AI have to do with it? We invite Intel machine learning department heads Nidhi Chappell doubts as to you:
"In short, AI is a subject to build intelligent machines, while the 'machine learning' to make these machines more intelligent .AI through machine learning can be achieved." Covers many categories AI, machine learning is one of the fastest growing and most cited A branch of attention.
“When you come to a new place and search for action suggestions online, the ordering of those suggestions is that machine learning will help you in the back,†Chappell said. It also shows that the news that people see every day is based on the same principle.
“AI has penetrated into every aspect of everyday life, so that people can hardly believe it. It may be that you are helped by machine learning hundreds of times a day, and you are not aware of it.â€
Although it has achieved great results, to achieve better AI, machine learning still needs a sharp change. Stronger computing performance and better performance. Machine learning algorithms still have a lot of room for improvement, which is why many technology companies place machine learning at the top of their development strategy. In order to achieve full autonomy and 100% safe automatic driving, in order to create the next machine and create a more intelligent innovation, it is toward the future and make unremitting efforts.
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This series generators are to be used in town, countryside, worksites, mountain and pasture as electric power source for lighting purpose, it can also he used as reserved power source for emergent case using.
The generators are of dripproof with rotary field type and adopt harmonic excitation system, easy operation and maintenance.
The generators are three-phase, four-wire type, adopting star connection with neutral point. The rated line voltage is 400V, phase voltage 230V, frequency 50Hz. power factor 0.8(lag). We can provide 60Hz and the other voltage's generator according to the customer's request.
They can be coupled with a prime mover directly or through v-belt making right or reverse continuous rotation at the rated speed. When the rotation speed of prime mover changs 3% or so and load varies in the range of 0~100% cos j 0.8~1.0, the generators offer constant voltage, when sudden change (increase or decrease) of load, the generator will soon return to their normal working state, at the same time, without any starting device the generator can directly start an unloaded squirrel cage induction motor.
Operating Condiyions:
Under the following environment, The generator could be continuous and rated running:
1.Above sea level: Not exceed 1000m
2.Cooling air temperature: 258~313K(-15 oC ~ 40 oC)
3.Relative air damping: not exceed 90%
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