Artificial Intelligence Technology
With the research and development of artificial intelligence, he seeks to not only simulate but to supplement human thinking with a self-learning computer program.
At the scientific conference in Dartmouth, M. Minsky, J. McCarthy, A. Newell, and HA Simon were the first to speak of “artificial intelligence.” The definition often cited for artificial intelligence was given by one of the founders of the subject, Marvin Minsky, in 1966: “Artificial Intelligence is the science of making machines do things that would require intelligence if done by humans.” So, it is determined that artificial intelligence is a science and secondly that machines can take over human jobs that require human intelligence.
This device can solve simple problems. However, the results of the research apparatus cannot be generalized. In this case, Joseph Weizenbaum, an MIT researcher, simulated a therapy session. In the following years young science continued to be developed, which was produced by MYCIN in the early 1970s in another innovative system based on AI. The MYCIN is able to help doctors with diagnoses.
Advances in systems with artificial intelligence have been fueled by ever-increasing memory capabilities and computer processor performance. Another highlight is IBM’s “Deep Blue” supercomputer, which was developed in the 1990s. This system is no longer based solely on human input, but can also learn on its own. The computer was able to play chess in 1997 with the current world champion. After six games, the computer wins.
With the increasing importance of the Internet, the possibility of implementing AI has also grown. In 2016, Microsoft wants to launch a Twitter account, which is only based on artificial intelligence. But at the same time, this system shows the limits of AI. After a short time, the account only published racist tweets and tweets aimed at women. The learning performance of the account might be manipulated by coordinated action. Microsoft closed the account to the public only after one day.
Turing test” plays an important role in determining artificial intelligence. The test developed by English mathematician Alan Turing in the early 1950s was based on the fact that someone communicates in parallel with the machine and other people through a kind of chat program.
The prerequisite is that there is no visual or audio contact. If the person tested after the “conversation” cannot determine whether their conversation partner is a person or a machine, the machine is considered intelligent. To this day, scientists assume that artificial intelligence at this time will not be able to fully pass the test.
The definition of artificial intelligence is based on the idea that human intelligence is a sum of different calculations. Men Thinking has been considered a machine since the Enlightenment.
Artificial intelligence itself is produced in a different way.
• Pattern recognition: AI systems recognize patterns and can take appropriate actions.
• Access to a broad knowledge base: Some AI systems are given a lot of knowledge. This system uses solutions or answers from this data set when searching for answers or solutions.
• Pattern prediction: By calculating probabilities, certain AI systems can react to possible patterns in the future.
Overall, artificial intelligence is currently based on processing huge amounts of data, which is called big data. The most modern form of artificial intelligence uses artificial neural networks and develops independent learning systems in the form of machine learning.
The use of artificial intelligence is now multifaceted. Purchasing or warehouse management can also be based on AI systems. In robotics, AI is applied in the production of devices or machines, while artificial intelligence is also used in cars without a driver, for example. In principle, every area that deals with digital data processing can benefit from artificial intelligence.
Limitations of artificial intelligence
As helpful as artificial intelligence, many dangers and problems can arise through AI as well. That is why researchers continue to try to identify risks using independent learning systems. They want to clarify possible safety risks for intelligent machines. For example, scientists questioned how the negative side effects of machine work could be eliminated. In addition, researchers want answers to questions about how AI can safely explore its environment without endangering people.
Benefits for online marketing
So far there is no direct way for the public to use artificial intelligence for online marketing. However, artificial intelligence can be used in online marketing in the future, for example, to automate advertising. The system will then independently recognize which ads are working and which are not. Such a system can then adjust ad copy independently.