What are the major improvements in AI?

Major Improvements in AI

Since intelligent systems like neural networks work with information, their application is relevant in all spheres of human activity. Transport logistics, medical services, banking, financial transactions, industrial optimization, autonomous driving, urban infrastructure. This is just a small part of where different neural networks can and are already used with ai software development at Unicsoft.

Yes, such systems have taken on some of the human work. Trained robotics can fly planes, deal with legal cases, create journalistic texts. And even conduct medical operations. Of course, all these are still only promising areas for the full application of AI. And their activities are still strictly controlled by humans.

The real application of, say, neural networks is relevant in routine work that is associated with information processing. Due to the creation of intelligent systems, it is possible to optimize the work of many office employees, clerks, secretaries, accountants, auditors, postal workers, etc. In general, everyone who is now engaged in document flow, mathematical calculations, collection and processing of information should be ready for that. Tomorrow their place will be taken by a piece of iron that does not need rest and a social package.

However, you should not be afraid that robots will destroy all professions and take jobs from people. We still need analysts, marketing specialists, sales specialists, various ideologists, political scientists, philosophers, teachers, lawyers. In general, everyone who can do their job better than a computer. Not to mention the creators of these computers, scientists, engineers, IT professionals, software developers, etc.

So far, unfortunately or fortunately, the computer loses to humans in most areas. And the fact that we have taught neural networks to instantly perform specific. But complex tasks and learn from them does not mean that such systems are smarter than humans.

Primitive AI, which today is implemented in the form of intelligent voice assistants, machine translation from one language to another, creating texts or identifying objects in a photo. It is still very weak, makes many mistakes and cannot do without human help.

Robots are very dumb. We must understand that we are light years away from artificial intelligence. All we can do so far is attempts by voice assistants to joke unsuccessfully. It took a whole scientific work in order to teach the robot to remove one garbage by hand. And the other – with the help of a scoop.

What kind of AI are there?

In the philosophy of artificial intelligence, there is a concept of weak and strong AI. Weak AI is all that we talked about above. Such a system can perform various informational tasks defined by a person. At the same time, a person completely configures the operation of this system. He monitors the progress of work. He controls the state of the hardware, etc.

Strong AI implies that the computer not only processes information, but also understands its meaning. For example, if the aforementioned Apple Siri could communicate with users not only according to its algorithms and a set of assigned commands. But to conduct a conversation on general topics and at least imitate reasoning, it would be a powerful AI.

You can tell a strong AI from a weak AI using the Turing test. In the middle of the last century, the English mathematician Alan Turing proposed a simple experiment. Whether a person can determine with whom he communicates. With another person or with a computer. If a person thought he was communicating with another living person. But in fact his interlocutor was a computer, such a computer passed the Turing test and was considered a strong AI with https://unicsoft.com/.

Yes, in some cases the machines did manage to pass the Turing test and people could not distinguish their answers from those of living people. But, this does not mean that there is now a strong AI. Intelligent systems can really understand the meaning of information and introduce it into context. But even this they do on the basis of the algorithms embedded in them and an array of previously processed data. So far, there is not a single computer that could understand information the way a person understands it.

Our AI today is still a weak or specialized AI that, although it can beat you at chess, drive a car, recognize faces. It can fulfill your requests. But still cannot replace a person in any cognitive work.