Artificial Intelligence part 4

A student wrote to me: “Could you explain more about Artificial Intelligence (AI) and how a machine can be better than a human? I am very interested in this technology. Where can I learn about it? Please advise.”

Answer: Artificial Intelligence (AI) is works performed by a machine that imitates the intelligent of a human. The AI machine (Hardware and software) is trying to emulate the functioning of the human brain such as thinking and learning. There are two key techniques in AI: Machine Learning is about teaching a machine how to do something by giving it a lot of data so it can learn and get better over time. Deep learning is about designing algorithms that resemble a neural network similar to a human brain with multiple levels of learning where each is based on previous results so it can learn complex things and “begin to think.” However, today AI has not reached the capacity of a human brain yet.

Artificial Intelligence (AI) is considered a major innovation that could disrupt many things. Some people even compare it to the Internet. A large investor firm predicted that some AI startups could become the next Apple, Google or Amazon within five years. Since there are not enough people who have this skills but its impact are already being felt in several sectors, from financial to manufacturing and market analysts people believe that the next “Bill Gates” or “Steve Jobs” will be someone who comes from the AI domain.

According to the New York Times, AI specialists can demand salary between $300,000 and $500,000 dollars a year because big companies such as Googles, Amazon, Facebook, and Microsoft are willing to hire them as fast as they can.

There are only a few universities are teaching and granting a degree in Artificial Intelligence. But there several AI courses from introduction to advance are available on MOOCs, taught by professors at Stanford, MIT, Carnegie Mellon, and Harvard.


  • Blogs of Prof. John Vu, Carnegie Mellon University
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