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This article mainly introduces "what are the six key innovations in the field of artificial intelligence". In daily operation, I believe that many people have doubts about what the six key innovations in the field of artificial intelligence are. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "what are the six key innovations in the field of artificial intelligence?" Next, please follow the editor to study!

Artificial intelligence innovation one: machine deep learning

AI artificial intelligence is developing at an amazing speed. At present, the main task of scientists is to create a deep neural network that can mimic the function of the human brain. The neural network generated by computer simulation can highlight anomalies and analyze patterns that humans took a long time to detect through a large amount of data analysis. It is really because of the use of various algorithms that machine deep learning has gradually become possible. Although it has not completely reached the level of simulating the human brain, the computer has been able to complete some of the preliminary analysis in daily life on its own.

The second innovation of human engineering intelligence: generating confrontation network (GAN)

GAN is one of the most concerned machine learning models in the world. Using two competitive neural networks, the generator network and the discriminator network, GAN promotes improvement by "deceiving" each other, thus simplifying the process. In the industry, GAN can be used to manipulate data, for example, by allowing e-commerce sites to satisfy a personalized customer experience by changing the color of clothing and even the face and body type of models. At present, the confrontation training capability of GAN is being used to improve the safety of fully automatic vehicles and to promote the application of gene editing and gene therapy.

Artificial Intelligence Innovation III: computer Vision

A large proportion of all AI-related patents we know are related to computer vision, with a compound annual growth rate of 24% in the past three years. There are many kinds of advances in computer vision, including higher resolution and stronger video capabilities, which is one of the key drivers of the adoption of artificial intelligence in the health care and automotive industries.

Artificial Intelligence Innovation IV: natural language processing (NLP)

Natural language processing is becoming more and more accurate, and it is now possible to translate multiple languages in a matter of seconds. For example, this shift has changed the capabilities of virtual helper platforms such as Siri and Alexa.

Artificial intelligence innovation 5: open platform

For developers, free deep learning tools such as TensorFlow and Pytorch, available to anyone over the web, accelerate their ability to optimize computer resources to automate processes. With the explosion of an open ecosystem of interchangeable AI models, the number of libraries and shared use cases being created is increasing, and reinforcement learning is considered the next major paradigm shift.

Artificial intelligence innovation 6: training and reasoning hardware

The artificial intelligence community is generally looking forward to the next generation of training solutions from chip suppliers Intel and Nvidia, which are expected to be launched later this year. These solutions are designed to improve energy efficiency and support edge devices, including routers, routing switches, integrated access devices (IAD), multiplexers, and MAN and WAN access devices.

At this point, the study on "what are the six key innovations in the field of artificial intelligence" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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