The difference and understanding of cognitive computing and artificial intelligence

Cognitive computing refers to the machine through the natural language of communication and learning to help people to do more systems, through the combination of technology and a number of academic fields, so that people better from the vast number of complex data to gain more insights, so as to make more accurate decision-making.

If a person says, cognitive computing is a system that can learn independently, independent thinking, and provide people with the ability to imitate, learn, and even transcend human cognitive abilities in different fields, thus providing more advice for human decision-making. Such fields as artificial intelligence (AI), cloud computing, large data, machine learning, and so on, are inextricably linked to cognitive computing, even in terms of genetic sequencing, unmanned driving, and AR/VR.

And the difference between artificial intelligence

Artificial intelligence is more well known than cognitive computing, in fact, the two are like two partially overlapping circles, and they are different from each other.

The following table illustrates their differences from four aspects:

To sum up, the ultimate goal of artificial intelligence is to make the computer and machine system behave more like people, approximate to people, and cognitive computing, although using artificial intelligence technology, but hope that the machine can provide more professional thinking, for human decision-making advice.