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VOOZH | about |
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VOOZH | about |
| Technology: | Big Data, Data Mining, Data Quality, Robotics |
Artificial intelligence (AI) is the science and technology of creating intelligent machines, especially intelligent computer programs. AI is associated with the similar task of using computers to understand human intelligence, but is not necessarily limited to biologically plausible methods.
A separate TAdviser article is devoted to options for defining the term AI and related difficulties - "The term AI has been used for 70 years, but everyone understands it in different ways. What is AI really? "
For 2024, the following criteria and features were identified that distinguish AI from other software complexes:
The integration of all 8 basic features of AI is not mandatory, since, in fact, even one of the above is enough.
For 2021, the researchers used the following classification of AI types:
Artificial Super Intelligence (ASI) is a hypothetical AI that can not only reproduce the maximum human ability, but even surpass it. Those who believe in ASI believe that he will gain the power to penetrate a person's thoughts and feelings in order to subjugate him to his will. See Super Intelligence: Futurologist horror stories or the real future of artificial intelligence?
Remaining also hypothetical strong, or general AI (Artificial General Intelligence, AGI) in terms of reasonableness stands a step below ASI, adherents of this type of AI are limited in their beliefs by the possibility of creating machines capable of at least performing the same actions as a person.
Weak, or narrow AI (Artificial Narrow Intelligence, ANI) allows you to see weak hints of the mind in the behavior of machines (therefore it is called weak). It is designed to run only a strictly defined narrow range of applications (so it is called narrow). In the case of ANI, no human-independent autonomous behavior or independent development is possible. Systems equipped with ANIs can only exist in the form in which they were created by man and cannot even theoretically get out of his control.
Artificial intelligence is the result of the synergy of many technological, scientific and industrial achievements of the previous 100 years.
There are many factors that have influenced the expansion of AI, but there are several key ones:
One of the main drivers of the rapid development of AI was computer games and gamers who moved the progress of video cards, which made it possible to exponentially increase the computing power that later began to be used for AI projects.
The more data - the more accurate the results, so AI could not appear before sufficient computing power, Big data and a high level of Internet development appeared, but all this must be correctly interpreted and processed, i.e. algorithms are needed.
Main article: Generative artificial intelligence
Data Science
The following methods are used:
Main article: Training artificial intelligence
Main article: Neural networks
Deep Learning AI. For 2023, the following applies:
Main article: Machine learning
Machine Learning AI - support vector method, linear regression, logistic regression, decision trees, random forest, K-nearest neighbor method (KNN).
Reinforcement training:
Natural Language Processing (NLP) - transformer-based models are the most powerful and innovative models for 2023.
NLPs recognize and automatically translate texts, recognize and generate speech.
Computer vision (CV):
Applies to
Main article: Standardization of artificial intelligence
Main article: LLM (Large Language Models)
Main article: AIOps (Artificial Intelligence for IT Operations)
Main article: Regulation of artificial intelligence
Main article: Risks of using artificial intelligence
The development of artificial intelligence technologies in the future can carry not only benefits, but also harm.
Main article: Trends in the artificial intelligence market
Main article: Fraud with artificial intelligence
Main article: Artificial intelligence (Russian market)
Main article: Introduction of AI in business
The fields of application of AI are quite wide and cover both familiar technologies and emerging new directions, far from mass use, in other words, this is the entire range of solutions, from vacuum cleaners to space stations. All their diversity can be divided according to the criterion of key points of development.
AI is not a monolithic subject area. Moreover, some technological directions of AI appear as new sub-sectors of the economy and separate entities, while serving most areas in the economy.
The development of the use of AI leads to the adaptation of technologies in classical sectors of the economy along the entire value chain and transforms them, leading to the algorithmization of almost all functionality, from logistics to company management.
Main article: AI in decision-making: today and tomorrow
Main article: Artificial Intelligence in Public Administration
Main article Artificial intelligence in forensic science
Main article: Artificial intelligence in the courts
Machine Learning Tasks:
The Department of Information Technologies (DIT) of Moscow has begun to create a system based on a neural network designed to read the readings of water meters directly from their photographs. It is planned to teach the neural network to recognize the readings of meters in the photo by the end of 2017. In order to train, she will have to process about 10 thousand such images.[1]
The Moscow Mayor's Office on its website asked the residents of the city to help with the training of the neural network. To do this, they just need to upload pictures to the site, confirming then the correctness of the recognized numbers. Muscovites will be able to upload an unlimited number of photos, but they will have to follow a number of rules when photographing readings: the camera must be at a distance of no more than 15 cm from the meter; at least half of the image must be occupied by the counter image; one photo should not have two or more counters; You can take multiple shots of the same counter from different angles.
To report the meter readings, residents of the capital still have to enter data manually. Recognition of readings by photo is expected to take a matter of seconds and, as a result, will save Muscovites time.
After launching the trained neural network, photos will need to be uploaded to the applications HOUSING AND PUBLIC UTILITIES Moscow"," "Moscow State Services" or to the personal account on the site mos.ru. It is assumed that the network will be able to recognize numbers in meter photos regardless of lighting, shooting angle, camera capabilities and image quality.
Main article: Artificial intelligence in ritual services
Main article: How AI helps to write software. Overview of one of the most promising technologies of the future
Mass hiring faced a problem that could not be solved by either proctoring or complicating tasks: candidates began to massively use artificial intelligence when passing tests. As a result, companies receive formally strong candidates whose real knowledge and skills do not match the results of the assessment. According to the practice of large HR projects, distortions already affect tens of percent of samples - especially in the segment of young specialists. It's more like this here.
In recent years, artificial intelligence (AI) has been increasingly used in various industries, including HR. This area is the area of human resources management in the organization. HR management is a key area of development of companies striving for success. It includes a wide range of functions from recruiting and onboarding staff, to its development, training, motivation management and conflict resolution. Read more here.
According to the 2023 World Economic Forum (WEF) report, six in ten employees will need retraining by 2027. However, many professions and skills in demand in the future are just beginning to take shape. The question arises: what knowledge and technologies to master today in order to meet the requirements of tomorrow?
Companies are faced with a choice: lay off employees who do not meet new realities, or invest in their development. The second approach is proving to be more cost-effective. At the same time, the work of HR departments is being transformed: new responsibilities appear related to the use of artificial intelligence (AI), the analysis of falsified resumes and the management of educational programs. These changes were announced by the technical director of Future Hub Dmytro Zykov, a leading expert in the field of digital technologies and process automation. Read more here.
On July 11, 2019, it became known that in just two years artificial intelligence and machine learning will be used to counter fraud three times more often than in July 2019. Such data were obtained during a joint study by SAS and the Association of Certified Fraud Examiners (ACFE). As of July 2019, such anti-fraud tools are already used by 13% of organizations that took part in the survey, and another 25% said they plan to implement them within the next year or two. Read more here.
Main article: Artificial intelligence in crime
Main article: Artificial intelligence in telecom
Main article: Artificial intelligence in the production sector
Main article: Artificial intelligence in construction
Front:
Middle/Back:
More than half of financial companies use or test artificial intelligence. Such data are cited by the international audit consulting company Deloitte in its 2025 study The state of AI in the enterprise.
The chief technical officer of Computer Science Innovations spoke about a new tool that allows you to automate exchange trading and invest without risk. Read more here.
In early February 2024, it became known that one of the world's largest investment companies, Vanguard Group, is introducing artificial intelligence technologies to manage several shareholder funds with a total capital of $13 billion. It is assumed that neural networks will help to adapt faster and more efficiently to changing economic and market conditions. Read more here.
Main article: Artificial intelligence in transport
Main article: Artificial intelligence in logistics
Main article: Artificial intelligence in audit
The purchasing function is going through a moment of transformation. In conditions of price volatility and foreign policy instability, cost savings alone are not enough, companies are looking for a source of sustainability and strategic value in procurement. Purchasing is the point of intersection of a large amount of data: on the one hand, internal information about expenses, demand and specifications, on the other, external sources such as market analytics, supplier databases and industry trends. Companies capable of integrating these disparate data and using artificial intelligence tools gain a significant competitive advantage: solutions are becoming faster, more accurate and strategically more aligned. [1]Learn more here.
The first cafe, menus and interiors for which artificial intelligence has developed has opened in Russia. We are talking about an institution of Asian cuisine called Futuramen, which started working in Moscow on Pyatnitskaya. Read more here.
Main article: AI in jurisprudence
Main article: Artificial intelligence in the fashion industry
Main article: Artificial intelligence in science
How do robots replace journalists, writers and poets?
Main article: Artificial Intelligence and Music Creation
Main article: Artificial intelligence in painting
Playing the version of the famous arcade game M. Pac-Man, released for one of the first home consoles Atari 2600, artificial intelligence was able to score the maximum number of possible points - an achievement that was previously unthinkable. The result of the smart car was 999,990 points, while the best result set by a person is 266,360 points.
Artificial intelligence training used a method called "hybrid award architecture." It consists in the fact that 150 special agent programs are assigned a specific task: to avoid ghosts, move around correctly, collect pellets, and so on. With the help of agent programs, artificial intelligence independently allocated priorities to achieve maximum results. The Atari 2600 version of M. Pac-Man was used for a reason. The game code in it is less predictable than in the original version. The development strategy was the use of a promising approach to reinforcement learning (reinforcement learning), which assumes that the algorithm is given examples of the desired behavior for processing, and it is being improved by trial and error. According to scientists who worked on the project, such an achievement will contribute to the processing of natural language, and will also potentially form the basis of systems of detailed prediction of purchasing behavior due to many factors.
tournament, which was held at the Pittsburgh casino Rivers, 120 thousand distributions were played in the unlimited Texas hold'em one-on-one (Heads-Up), Danielle McAulay, Jimmy Choo, Dong Kim and Jason Les played against Libratus. As a result of the 20-day tournament, the program defeated people, earning more than $1.7 million in chips. Despite this, the developer will not receive any money, and the prize pool of 200 thousand dollars will be divided between four live players, depending on the place occupied.
It is not known exactly how Libratus works, the authors described only the general structure of the program and plan to publish an article in a peer-reviewed journal in the near future. According to the developers, Libratus consists of three parts. The main "core" of Libratus was prepared in advance, calculations took 15 million core-hours, while Claudico took two to three million. The second part of the program monitored possible errors that opponents could make, and took this information into account during the game. The third part of Libratus tracked its own weaknesses that opponents could exploit, and adjusted the overall strategy with this data in mind. This approach allowed the program to both bluff on its own and recognize disinformation from rivals[4].
According to the authors of the program, systems like Libratus have a great future in various areas where you have to deal with incomplete information. Researchers call information security, military affairs, auctions, negotiations and even the lean distribution of medicines as possible areas of application of the program.
Poker is a game that is very difficult to train to play a computer: a good player quickly recognizes strategies embedded in artificial intelligence and finds a way to defeat the bot. It is especially difficult for a computer if bets at the poker table are not imitated, that is, the player can set an unlimited number of chips in his turn.
However, poker bots are a very popular trend for the game. There are two types of poker bots. Some are quite simple and fight people in a game with small stakes - in it, the level of poker is very low, and people cannot solve even the simplest strategies. Such bots are not very interesting to science and serve to make money - poker sites, as a rule, try to fight them.
The second type is bots that compete with professionals. They are needed not only and not so much to make money, but to promote science. The topic of "games with incomplete information" is now one of the most popular in economic science - it is no coincidence that Lloyd Shapley and Alvin Roth received the Nobel Prize in Economics in 2012 precisely for the theory of stable distribution, which is connected precisely with "game theory." If a computer consistently learns better than a person to play games with incomplete information, we may no longer have to bargain and agonize about whether we lost the game by buying a new car with the characteristics we need for this particular price - because it will be up to us to decide on an application in a smartphone[5].
Main article: Artificial intelligence in photography
In July 2024, the premiere of the first ballet in Russia created using artificial intelligence (AI) technologies took place in Yuzhno-Sakhalinsk. The play "Insight," which tells about the love story of a family of engineers who went to the construction site of the century, has become a unique project at the intersection of art and modern technology. Read more here.
Main article: Chips for artificial intelligence
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