Artificial Intelligence in a Near Future

Technology and smart machines have invaded our world. Advanced technology is attractive for professionals, students, students, children. Modern life makes the day-to-day use of computers even more powerful. Currently, application of advanced robot is very realistic, so we can believe that humanoid robots can interact with people in the near future. Natasha Lomas said in a January 18th 2010 article, if the robot is ready to be connected safely to society, we have studied whether people are ready for future biomechanical revolution.

In the near future, before you worship super intelligent artificial intelligence, take time to understand some of the wonderful ideas that helped build artificial intelligence in history. Six people who have had a great influence on this field are here: Aristotle - Greek philosopher born in 384 BC. His logical work not only influenced the world's thinking mode in the next few years, but also his original logical system lay the foundation for human beings to establish AI. His triadic theory ("A priori scheme of formal arguments consisting of primary and secondary premises and conclusions") provides the basic logic of many problem solving procedures.

We have not yet implemented "strong" artificial intelligence (also called artificial intelligence) that can achieve all intellectual tasks human beings can achieve. However, significant advances in artificial intelligence over the past few years have shown that strong artificial intelligence can be achieved in the near future. Artificial intelligence requires appropriate machine learning algorithms, data and computational power. Many of today's most promising artificial intelligence techniques use neural networks. Neural networks can be small, simple, or large and powerful. The larger the neural network, the stronger it is. To achieve the limits of neural networks as well as today's artificial intelligence capabilities, a powerful computer chip

Currently, artificial intelligence is mainly directed to convolution neural network, generation conflict network (GAN) and deep learning. All of these various machine learning methods are classified as artificial intelligence, but they are extremely limited. Every time I write a GAN or a neural network, the system learns over time and often divides it into so-called Epochs. However, the system itself is not learning! We have to learn it