RRJ#2

 Reference:

            Weeks, C. (2011, Jun 6). Why talking is so much tougher than math. Retrieved June 8, 2011, from http://www.theglobeandmail.com/news/technology/shaping-the-future/why-talking-is-so-much-tougher-than-math/article2048539/

 

Summary :

          The article simply is about Artificial Intelligence (AI). It discusses the future and the present for  AI. And I can divide the article into two parts. To start with, it begins with how people believe in AI and how it changed the way that they live. Also, the author mentioned a computer science professor whose name is Geoffrey Hinton. This professor has received a lot of awards about his major, including the Canada Gold Medal. Second, the article discusses a recent interview with Dr. Hinton about AI. The interview has seven questions. The crucial information about AI in these questions is,  in the early times AI focused on logic, buy now they're focusing on biology. They're trying to make an intelligent thing like the people, but it's turned out to be hard because of the complicated system of the human's brain. And to be good at vision and speech recognition are the most difficult part of making robots. In addition, the development of AI could have risks, but it depends on the political systems how to solve these risks, and they gave an example. Finally, Dr. Hinton  ends the interview by saying we won't get a dangerous result if we had an open political system with good media, because it controls what people see and hear. And he believes that we have ways to enable computers for AI to  succeed.

 

Reaction :

       It's amazing to read an article that touches your field such as this one. My major is computer science, and since I was a child I have lived playing with robots and video games. The article has one solid idea that could change the whole world, and actually it does. Artificial Intelligence has begun to change and reform the ways that we lived on. This article gave me a lot of information that I could use for my future and my career. I already knew that AI was based on logic and biology, but it's surprised me that they have issues with the vision and the speech recognition, and I could study this weakness and get a solution for it. The field has been changed; in every part of a second  people come up with ideas, solutions, and many things, and they still have got a long time to put their touch in the field. There is a large difference between my country and the U.S. in AI. I mean that in my country we don't have the same facilities as that reaches and actual materials, and that’s really crucial for me as a student in computer science. In short, it's so beautiful and stunning to know how it is  happening in your field and trying to solve the issues that are hampering your major's future.