Artificial Intelligence and Big Data are familiar buzzwords, but there may also be some confusion. Artificial intelligence and big data have what similarities and differences? What they have in common? They alike? They can stop effectively compare it? Embedded custom
AI processor. JPG format
Some people think that artificial intelligence and big data separately is a natural mistake. Local because they are different in practice. But they are different tools to accomplish the same task. But the first thing to do is to clarify the definition of both. Many people do not know.
One main difference between artificial intelligence and big data is that big data is the need to clear data useful for the construction and integration of the original input, and output data processing artificial intelligence is smart generated. This enables both have a substantial difference.
AI is a calculation method, which allows the machine to perform cognitive functions, acting as input or in response to an input, similar to human practice. Traditional computing application is also responsive to the data, but the response and the response must be manually coded. If any type of error occurs, the application will not respond, as a result of the same accident. Artificial intelligence system from time to time to change their behavior to adapt to changes in the survey results and correct their reactions.
AI support machines are designed to analyze and interpret data, and interpretation processing based on these problems. After the machine learning, how to calculate the time or opportunity to take action to respond to the results and take the same action in the future.
It is a traditional large data calculation. It does not contribute to the result, it will only look for results. It defines very large data sets, but also can be very diverse. In large data sets, the data structure may be present (e.g., transaction data in a relational database) or configuration and structure data (e.g., image, electronic mail data, sensor data).
Although they are very different, artificial intelligence and big data can still work well together. This is because the data needed to build intelligent artificial intelligence, machine learning in particular. For example, machine learning image recognition applications can see tens of thousands of aircraft image, understand the composition of the aircraft, in order to identify them in the future. Telephone robot really easy to use?
Artificial intelligence is the biggest leap in massively parallel processor appeared, especially with thousands of GPU cores, rather than dozens of CPU processors in parallel. This greatly speeds up the existing artificial intelligence algorithms to make them possible.
The more data that the application of artificial intelligence, the more accurate the results. In the past, artificial intelligence slow processor, small amount of data, it does not work very well. There was no advanced sensors, the Internet has not been widely used, it is difficult to provide real-time data. People have everything they need: fast processors, input devices, networks and large data sets. There is no doubt, no major data is not artificial intelligence.