Present some boundaries for the forthcoming Artificial Intelligence (AI) revolution, why, where and when?
Essam H Houssein Let me put my opinion on AI this way
Firstly, there is a misuse of the word AI. AI is defined as a system that can make cognitive decisions in place of humans across various applications. As of now, there is no True AI as far as public knows. A lot of industries and academia misuses the word AI when truly they are doing ML or DL. ML and DL helps in predictions, classification and forecasting based on historical data. They do not perform any decision making in place of humans. They are more of an assistant tool for humans.
Why do we need AI?
Humans are not perfect and are bound to make mistakes. In most situations, humans are biased as well. AI revolution can help eliminate most of those issues. With AI we can improve efficiency across various applications through timely decisions which humans lack in.
Where will the AI revolution be?
My guess is in silicon valley in USA! Because of all the technology, knowledge and availability of resources from big tech giants.
When will we have true AI?
We will see true AI between 2025-2030. But we will not see it in use cases until end of 2030's. Government will be likely to jump in to create rules, regulations and ethicality of AI especially in applications such as health care and medicine.
The AI term is too ambisousus. Most of the AI techniques in reality are classical mathematical methods.
Hi,
Artificial Intelligence (AI) revolution towards data science and machine learning..Machines are dumb things that take specific instructions to execute, but since the rise of AI and Machine learning, things started to be different, as machines started to take decisions depending on the data that they have and they started to learn from their mistakes. It’s predicted that machines will be more in control of their decisions in the future.
Best Wishes..
There is a lack of skilled data engineers to prep the data for machine learning, I spend most of my time doing data engineering, too much of my time wasted prepping and moving data.
The term intelligence has not been defined properly so far. However, AI can be defined as a set of tools, which can be used in machines to capture human behaviors. It is not only decision making. Some fields like soft computing have become a part of AI. Recently the originators of DNN received the ACM's Turing award for their contribution to AI.
If people in Academia or industry are using ML as AI then they are not wrong. Basically learning is a part of intelligence. AI does much more than only learning feature of machines.
The AI revolution is pretty old. When Dr. Raj Reddy (The only person of Indian origin who has received ACM's Turing award in 1992 and also who is included in the Hall of fame of AI in 2010) introduced Applied AI with his supervisor in the 1960s it was a revolution.
Robotics which is a part of AI is being constantly researched and used. We have come across planes without a human pilot, machines beating masters in many games like chess. So, the origin of AI is now pretty old.
As somebody pointed out by 2030 machines are likely to overtake humans.
It is not only confined to silicon valley in USA. Japan is a strong contender as far as AI research is concerned.
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