Without the help of the Net

Without the help of the Net

Project debut was not connected to the Internet during this discussion. However, all its information contained data from the data and data that IBM experts gathered and collected for this machine.

This machine took part in the discussion of two discussions. The first issue was whether more public funding should be required for space investigations. The second issue was whether more investments should be done for telecommunication technology.

Both man and machine co-participated were given four four minutes to start their argument. And then each was given four to four minutes to answer the argument and finally two minutes were given to accommodate their arguments.

When the new OOIDA presented its argument, while saying that government money should be spent on other important needs rather than space probe, the artificial intelligent machine responded that it is very easy to say that it is very important to spend money on other important things. And I will not disagree with that. No one is claiming this, only on our agenda. But here is not this topic.

'Because spending on public funds on space research will benefit society. That is why I would say that the government should spend money on this project.



Image caption This machine of artificial intelligence named Project Debt heard the arguments and then responded to the arguments.

The machine was not even aware about the subject like the person involved in discussion. However, the IBM machine had a list of themes around the world, and its experts think that project debuters will be able to discuss this with a collection of information.

IBM research director Arvind Krishna wrote in one of his blogs, "With time consuming and other related applications, we can use this system in such cases where we are not able to reach it."

Speaking to the BBC, Arvind Krishna said, "With this successful experience, we have reached this limit of artificial intelligence where Google now has to demonstrate its success."

Project debitter is actually to gain access to different computer languages, and languages   are a sector, and there is no wrong and right objection in this matter. (Computer programming is programmed incorrectly and accurately).

Therefore, during these discussions the artistic intelligence machine that was not performing well was that he repeatedly expressed his own argument in different words, the argument repeatedly, or new arguments with the rise of new angles in the same argument Creating the result of a dynamic data inserted in the machine.

Practical Advantages

Chris Red, Professor of the University of Dundee, UK, has described this artificial intelligence machine experience as an important and influential technology.

Professor Red has no connection with the IBM and he says that this experience is a major breakthrough. 'What I am impressed is that many technical skills of artificial intelligence have been used. And it is not easy to use in such a complex process like a discussion.

'First, you have to find a solution to many problems and then analyze the problem with all the problems by anal.

IBM is not new in the field of demonstration at the public level of artificial intelligence. His computer named "Watson" has won America's 2011 2011 Game Show 'Geopedi'. Earlier, its 'Deep Blue' computer had defeated Chess's World Champion Giri Caspeiro in 1997.

But it has always been a difficult task to use technologies behind these famous artworks for an outstanding solution. Although it was not told how many but IBM has recently dismissed many of its employees from the job. And it was working on Health Care Application Watson.

IBM Arvind Krishna says major companies of the company prefer commercial interests first.

'When you are in a position to decide somewhere, sometimes you make the decision and you do it while others say.'

Professor Red says, 'If you enable project debuters to understand the subject of a theme, and then talk to you, then you can use them in the most beneficial tasks.

'I think this is a kind of team, where humans participate in discussion and computing in the form of a group.

It is obvious that there will be some weaknesses and some positive things will happen. The aim is to build these teams in such a way that they can work better than humans 'own capabilities.'

Prof. Chris Red believes future artificial intelligence machines will not be problematic, but the matter is what data is collected to these machines and what kind of prejudice they will have.