Artificial Intelligence and Growing Epidemics

The obsession to reach the highest level of innovation has forced man to create revolutionary things. It is said that we are going through the era of the fourth industrial revolution, in which the use of artificial intelligence will increase greatly and Soon it will dominate our lives. Since the 1960s, it has been a fascinating topic for scientists and researchers around the world. Thanks to the hard work of this journey of nearly half a century, today man has started the project of artificial human brain “M Mortality Technology”. The human effort to promote science and technology through artificial intelligence is called “Artificial Intelligence. The term was coined by scientist John McCarthy.
He has described it as the science of making machines that have intelligence. In the future, such machines will appear in front of us, which will not need humans to operate them. She will do all the work herself. Similarly, self-driving cars will soon appear on the roads with artificial intelligence. A few years ago, a technology firm called Nvidia developed a programming algorithm that processes the textures and expressions of nearly 70,000 human faces to create artificial portraits.
Experts say that in the coming times, artificial humans will also be prepared that will be seen walking everywhere like living humans. But the only difference will be that these artificial humans have nothing to do with sleep, fatigue, illness and death. It won’t happen. It will be able to do everything that humans are doing today. On the contrary, they will also be able to do the work that humans are not able to do today due to their limited mental capacity. That is why artificial intelligence is called the second major revolution and milestone in human history. Especially in industries, computers and robotics, the revolution that has taken place thanks to the advanced and unique techniques of AI is as clear as day.
The main goal of artificial intelligence is to create machines that are capable of thinking and understanding exactly like humans. At the same time, machines can be made so advanced that they not only react by understanding the environment, but also react in a few seconds. It can also perform functions according to human wishes, the biggest example of which is the many robots that have been developed. Besides, machines should be made capable of giving many times better results than humans. All the inventions that have come out in the past years are the lowest level of AI, because the real program of AI is to take the technology to the point where the machine is capable of performing tasks automatically without human intervention. In this regard, numerous robots have been developed.
For example, a nurse robot, a surgeon robot, a housekeeper, a career for the elderly. The question is, presumably in the next 20 years or less, thanks to the latest techniques, scientists will be able to use the brain. If they are able to create an artificial brain by understanding the working method and the machine becomes able to read human behavior, will it be a new milestone on the path of progress for humanity or will it be a disaster for us? Will take to the brink? Scientists should focus all their attention on creating such intelligent systems that guarantee the welfare of humanity, but on the contrary, our lives are getting entangled in the web of technology day by day in such a way that humanity and technology collide sooner or later. It seems inevitable to happen.

According to Professor Ara Darzi, director of the Institute of Global Health Innovation at Imperial College, artificial intelligence is one of the most powerful avenues we have for developing an imaginable drug. But the main requirement for this is high quality and large data sets. To date most of this information has been relegated to individual companies such as large pharma companies or lost in old laboratories within universities. Professor Albert Laszlo Barabasi says that artificial intelligence can do much better, not only to improve order but also to look at independent information that might not be visible to network medicine. But artificial intelligence can’t do it alone.