AI is potentially the most powerful technology we’ve ever created, and it will develop the next form of civilization. It’s not happening in 10 or 15 years. It’s happening right now. People have to keep that flame burning. Making the world a better place is a primal human instinct. Social change is a team sport. We’re entering a day and age where almost anything can be made possible.
Artificial intelligence is going to revolutionize everything. It offers an extraordinary possibility of accelerating solutions when we have to solve a problem. We’re using artificial intelligence now in virtually every area. But we have a common question, can AI save our humanity? Many positive and negative answers on the internet will make you confused. So I will explain this to give you a clear concept. Let’s go!
How AI can save our humanity? (Future of Artificial Intelligence)
First of all, AI is already among us. We cannot turn down that idea. Also, we cannot look up to technology or look down on it because of our differences. We face extraordinary challenges in the 21st century. About 9.5 billion people will live in 2050. We don’t know how we will provide them with clean water, sustainable energy, and education.
There are serious problems with the environment, poverty, and starvation. So far, we’ve been unsuccessful in figuring out how to fix them. The real opportunity is how we can help the 7 million people that could practically benefit from these technologies. While we can’t say AI is general magic. It gives us core tools to start putting systems that we know will help with issues like hunger, famine, epidemics, overall health, and well-being.
AI can help the art of farming
Artificial intelligence (AI) offers an extraordinary possibility of accelerating solutions when we have to solve problems. We are now applying artificial intelligence to the art of farming. The very old industry is also adopting the latest in technology. So through artificial intelligence, a farmer can now integrate massive data sources on how he can increase the production of his land.
AI can save the life
Artificial intelligence is revolutionizing medicine. It has enormous capacity and potential to solve problems requiring enormous computing and pattern recognition. But human beings struggle with how drugs will be designed in the future. How are we going to cure cancer by 2030? It’s completely possible through artificial intelligence, making for better medical diagnoses!
MRI images consist of hundreds of thousands of individual image data in which neural networks recognize patterns and calculate the probabilities for certain diseases. For this, AI-supported assistance systems provide the doctor with important information for diagnosis. However, special skills are required to deal with it reflectively.
AI can make better lifestyle
The UN summit and its goals excite me, particularly with the idea of leveraging what I would call sleeping giants of data. We have accumulated so much data globally, and with some refinement and tagging, this data can become available and leveraged to address famine, to address human trafficking, to address vicious cycles of economic poverty.
Will AI replace humanity?
Undoubtedly, technology is creating a revolution. Technological advances such as AI are transforming the world, and scientists look forward to developing them. Also, they are finding out new ways to develop this type of technical stuff. But a question has always been asked, even years ago.
When technological advances were going too quickly, were there any threats to the coexistence of humanity? We cannot deny that AI will replace many human activities. But there is something that AI cannot replace, which they cannot feel.
That’s why they cannot replace humans as human beings. We can react in a specific way because of our emotions. They do not have moral values, and there is no way a machine could replace a human, even if it is smarter. Therefore, Scientists must keep up the excellent work and get on.
Read more similar topics:
Luger, George. Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th ed.).
Nilsson, Nils. Artificial Intelligence: A New Synthesis. Morgan Kaufmann. ISBN 978-1-55860-467-4.
Russell, Stuart J.; Norvig, Peter, Artificial Intelligence: A Modern Approach (2nd ed.).
Poole, David, Mackworth, Alan. Computational Intelligence: A Logical Approach. New York: Oxford University Press.
Deng, L.; Yu. “Deep Learning: Methods and Applications.” Foundations and Trends in Signal Processing.