Artificial Intelligence refers to the ability of a computer system to perform complex tasks that would otherwise only be accomplished by human intelligence. The lack of hardware system capabilities coupled with the development of the road once deviated, as well as the flaws of the algorithm, so that the development of artificial intelligence technology in the 1980s-1990s had a downturn. In recent years, the low-cost massively parallel computing, big data, deep learning algorithms, the human brain chip 4 catalysts are ready, resulting in the development of artificial intelligence has appeared upward inflection point.

The difference between artificial intelligence and big data_big data artificial intelligence which is better

What is big data

Big data (big data), refers to the collection of data that can not be captured, managed and processed within a certain time frame with conventional software tools, is the need for a new processing model in order to have a stronger decision-making, insight discovery and process optimization ability of the huge amount of and diverse information assets that require new processing models for better decision-making, insight discovery, and process optimization.

Gartner, a research organization, offers this definition of "big data". "Big data" is the need for new processing models in order to have a stronger decision-making power, insight discovery and process optimization capabilities to adapt to the massive, high growth rate and diversity of information assets.

Difference between Artificial Intelligence and Big Data_Big Data Artificial Intelligence which is better

Difference between Artificial Intelligence and Big Data

Big Data is the equivalent of the massive amount of knowledge memorized and stored in the human brain from elementary school to university, which can only be digested, absorbed, and re-created to create greater value.

Artificial intelligence is compared to a person absorbing a large amount of human knowledge, continuous deep learning, evolution to become a party of high people. Artificial intelligence is inseparable from big data, but also based on the cloud computing platform to complete the evolution of deep learning.

Artificial Intelligence is based on the support and collection of big data, used in the artificial setting of the specific performance and computing to achieve, big data is constantly collected, precipitation, classification and other data accumulation.

In contrast to numerous previous data analysis techniques, artificial intelligence technology is grounded in neural networks, while developing multi-layer neural networks, which allow for deep machine learning. Compared with other traditional algorithms, this algorithm does not have redundant assumptions (e.g. linear modeling requires assuming a linear relationship between the data), but instead uses the input data entirely to simulate and build the corresponding model structure by itself. This feature of the algorithm makes it more flexible and capable of self-optimization depending on the training data.

But this significant advantage comes with a significant increase in computing power. Until there was a breakthrough in computer computing power, such algorithms had little practical use. About a dozen years ago, when we tried to run a neural network on a non-voluminous set of data, we waited three days for a result. But today the situation is very different. High-speed parallel computing, massive amounts of data, and more optimized algorithms*** have all contributed to a breakthrough in the development of artificial intelligence. This breakthrough, if we look back after thirty years, will be no weaker than the Internet has a far-reaching impact on human beings, another technology, the power it releases will once again revolutionize our lives.