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TOP-10 achievements of artificial intelligence

The development  of Artificial Intelligence  promises us both grandiose changes for the better in everyday life, medicine and education, as well as certain difficulties and even dangers, up to the “revolution of machines”, which has long been predicted by science fiction writers and feared by the leading minds of the planet. We understand what artificial intelligence is already capable of, and what we can expect from it in the future.

Artificial intelligence in medicine

Thanks to the technology of deep learning, AI in medicine has already reached an expert level in the diagnosis of eye diseases and recommendations for their treatment, in the field of diagnosis of diseases of the cardiovascular system, oncological diseases, dangerous infections, as well as age-related diseases. One of the most important achievements of artificial intelligence in medicine is the synthesis of speech by “reading” the neural activity of the cerebral cortex. AI is capable of synthesizing up to 75% of human speech. In the future, this will help ensure that paralyzed and speech-impaired people have the opportunity to communicate with the world around them.

Development of artificial intelligence in art

If you let AI analyze the works of artists, writers, and musicians, it will be able to compose music, paint a picture, and write a piece of literature on its own. According to a study by McKinsey & Company, artificial intelligence is also capable of determining what exactly affects people’s emotions, which means that in the future AI will learn to manipulate emotions better than venerable creators.

Already now, an artificial intelligence system called DALL-E, named after Salvador Dali and WALL-I, a robot from a cartoon, can create illustrations based on text descriptions. At the same time, the system is able to interpret and combine disparate concepts, which is a key feature of creativity. Also, by processing language symbols, DALL-E can generate texts, poems and articles, but without pictures.

And in 2020, the Timecraft machine learning system was created, which reproduces the process of writing paintings by famous artists. The Neural Network was trained on two hundred painting videos, both real and digital, and then a neural network was created to “deconstruct” the paintings based on this knowledge. As a result, Timecraft showed higher efficiency than similar projects in 90% of cases. Therefore, artificial intelligence in education can be safely used as educational material for novice artists.

AI as a content generator

AI is already capable of generating very realistic photos and videos that are indistinguishable from real ones. Nvidia has developed a system that can create images of people’s faces based on the analysis of hundreds of photos of celebrities. This system can also create images of animals, plants and many other objects that are indistinguishable from the real thing. Some experts fear that in the future, the use of AI to create news will make it more difficult to fight fake news.

AI based on reinforcement learning technology

“Reinforcement learning” is learning the environment through trial and error, with rewards and punishments as a result of actions. This game technique is based on interest. This is how children learn about the world around them, and this is how AI can now learn. Scientists at UC Berkeley’s Robot Learning Laboratory have created the BLUE robot based on this technology. BLUE is a pair of limbs that simulate human hands, and now the robot is learning to move various objects. The goal of the scientists is to create a system that can learn by interacting with a constantly changing environment with a huge amount of data.

AI as assistant robots

Corporations Google, Amazon and Microsoft already today offer home assistants that help their owners cope with simple household tasks (turning on the light or ventilation), or reading the latest news. In the future, such assistants will receive more complex functionality and will become permanent human companions.

Face recognition technology

Already now, biometrics is widely used in various fields, in particular, in banking and to protect access to data on gadgets. Due to the development of AI in the field of biometrics, queues in stores may disappear in the near future, because instead of a plastic bank card, scanning of the buyer’s face will be used.

Chatbots 

Chatbots, which are also based on artificial intelligence, already exist and are becoming more and more popular. Now they are being developed by roseville seo company to improve communication with customers, for example, Facebook aims to create a chatbot that will speak like a human. And there is already a Replika chatbot that learns the user’s communication style, adapts to it in communication, and also provides emotional support. The goal of the creators of the chatbot is to make it a real virtual friend.

AI and “smart homes”

“Smart house” is one of the most popular technologies using artificial intelligence. The “smart home” system is able to monitor home security, monitor electricity and water consumption, the state of networks, clean the house, and generally make life more comfortable. Today, there are not only “smart” apartments and houses, but also entire cities.

Development of cognitive abilities of robots

Experts from Intel Labs and Cornell University have created an AI capable of distinguishing smells and imitating the work of the human olfactory nervous system. This AI complex can distinguish the odors of dangerous substances even in the presence of strong obstacles. The creators are sure that this solution will allow robots to sort products by smell, will encourage the development of environmental monitoring systems, and will also increase labor safety in production.

AI to help programmers in gaming

NVIDIA used AI to reproduce the gameplay of the famous arcade video game Pac-Man, for which the GameGAN neural network was used. At the same time, neural networks did not provide access to the original code of the game or its engine. The learning process consisted of observing one neural network as another neural network plays Pac-Man. As a result, the AI ​​took 4 days to render the gameplay. NVIDIA researchers say that algorithms like GameGAN can be trained to procedurally generate rules for new games, freeing programmers from additional painstaking work. It is also reported that in the future their development can be used not only in the gaming industry.

There are many areas of application of AI. Artificial intelligence penetrates deeper and deeper into our lives, moving from the laboratories of researchers to our homes and gadgets. The introduction of AI in various areas of life has its pros and cons, and even very real risks.

For example, the biggest  problem with artificial intelligence  is the possibility that it will start learning the wrong things, which sometimes already happens with chatbots, and can cause harm instead of good. We should also not forget about the disappearance of jobs and the inevitable restructuring of the labor market. But  the advantages of artificial intelligence  are undeniable: the ability to process huge amounts of information in a short time, the absence of fatigue, the ability to learn in any field.

So, in general, the application of AI opens up many possibilities for us. However, the responsibility in any case lies with the person, and it is only up to us in which direction humanity will move.



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TOP-10 achievements of artificial intelligence

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