The essence of artificial intelligence is data plus algorithms. It is the same as our human learning process. When we are born, we don't know anything. We need the input of external data, and we need to learn the correctness through brain algorithms, practice, and feedback. So now, artificial intelligence knows the same way as people (through data and algorithms).
There are several concepts in artificial intelligence that are easy to confuse. They are artificial intelligence, machine learning, and deep learning. These three concepts were put forward in different historical periods and had an inclusive relationship.
The concept of artificial intelligence has been born for over half a century, and there have been many false dawns in the middle, but why is it the moment when natural, artificial intelligence comes? There are three main reasons.
One reason: is big data and cloud computing.The development of the mobile Internet has made everything around us digitized, and cloud computing can store these data in the cloud for us to use. As mentioned earlier, the essence of artificial intelligence is data plus algorithms, so we must have a large amount of data that can be applied. According to statistics, 90% of the world's data has been generated in the past two years.
Reason two: deep learning.The algorithm of deep learning makes artificial intelligence very close to the thinking process of the human brain in terms of algorithms.
Reason 3: Graphics processor (GPU & TPU).Artificial intelligence needs the support of hardware and a large amount of parallel computing power, but similar computing power cannot be completed by the CPU and must be completed by the GPU. The performance of GPUs has been dramatically improved in the past 20 years due to the development of 3D games so that they can be very well applied to artificial intelligence calculations today.