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History of the development of computers
History of the development of computers
Basics of cognitive theory
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Watson: The Extraordinary Computer. Technology has been able to make life easier and more comfortable for humans, plants and animals. Artificial Intelligence on the other hand has been able to solve some problems beyond human capacity. Artificial intelligence alongside natural intelligence is what Stephen Hawking uses for his creative thinking and to communicate. Artificial intelligence is more than just computers and software. Over the years, computers have been developed in terms of size, shape and speed. Computing systems have been available for over 200 years, ranging from the Chinese abacus to Charles Babbage’s first macro computer. Computers have become more advanced especially this digital age. Several computer companies have been creating …show more content…
Watson had its debut appearance to the public in 2010. Watson was one of the three contestants in the game show Jeopardy! and Watson won the competition. Watson’s artificial intelligence is so acute that it was able to beat two humans in the game show Jeopardy! . Watson’s ability to defeat two human competitors in Jeopardy! created a lot of criticism for the computer and its developers. Jaron Lanier in the The Best American Science Writing 2012 criticized the appearance of Watson in Jeopardy! Jaron believes that including Watson as a contestant in the game show was a bad idea. Jaron says that Watson “presented a misleading picture to the public to the public of what is known about machine and human intelligence” (89). Jaron Lanier’s reasons for condemning Watson’s appearance on Jeopardy in his article “It’s Not a Game”, is because, “Watson was presented as an entity instead of a technology” (90). Jaron Lanier believes that human intelligence and a machine’s artificial intelligence should not be compared (91). Michael Moyes in his article “Watson Looks For Work,” says that the computer was able to win because it was preloaded with 200 million pages of encyclopedias, newspapers and works of literature (“Watson Looks For Work”). The two things that fascinated the world is that Watson was able to defeat the top two human competitors that have ever been on Jeopardy! and Watson is able to understand natural language which is English. Watson was able to partake in the competition because of its natural language processing ability. Dr. Ramon A. Mata-Toledo explains Watson’s natural language processing as an “intrinsic nature of accepting sentences” (“Natural Language Processing”). Since Watson won Jeopardy!, not only did it become more popular for defeating two humans, but Watson became well known for its natural language processing. Bruce Upbin wrote in an article for Forbes
The official foundations for "artificial intelligence" were set forth by A. M. Turing, in his 1950 paper "Computing Machinery and Intelligence" wherein he also coined the term and made predictions about the field. He claimed that by 1960, a computer would be able to formulate and prove complex mathematical theorems, write music and poetry, become world chess champion, and pass his test of artificial intelligences. In his test, a computer is required to carry on a compelling conversation with humans, fooling them into believing they are speaking with another human. All of his predictions require a computer to think and reason in the same manner as a human. Despite 50 years of effort, only the chess championship has come true. By refocusing artificial intelligence research to a more humanlike, cognitive model, the field will create machines that are truly intelligent, capable of meet Turing's goals. Currently, the only "intelligent" programs and computers are not really intelligent at all, but rather they are clever applications of different algorithms lacking expandability and versatility. The human intellect has only been used in limited ways in the artificial intelligence field, however it is the ideal model upon which to base research. Concentrating research on a more cognitive model will allow the artificial intelligence (AI) field to create more intelligent entities and ultimately, once appropriate hardware exists, a true AI.
To prove his theory, Carr mentioned Google’s founders Sergey Brin and Larry Page are set on turning their search engine into an artificial intelligence. In a 2004 Newsweek interview, Brin said, “Certainly if you had all the world’s information directly attached to your brain, or an artificial brain that was smarter than your brain, you’d be better off.” Carr finds this unsettling because it suggests that the human brain is just an outdated computer that needs a faster processor and bigger hard drive. To make his point Carr dedicated most of his article to examples of theories and...
Smarter than You Think starts out with a cautionary tale of how in 1997 world chess champion Garry Kasparov was beaten by Deep Blue, an I.B.M. supercomputer. This was a considered a milestone in artificial intelligence. If a computer could easily defeat a chess champion, what would happen to the game and its players? A year after Kasparov was defeated by the program he decided to see what would happen when a computer and person were paired up. He called this collaboration the centaur; A hybrid consisting of the algorithms and history logs of chess as well as the brain to “analyze their opponents’ strengths and weaknesses, as well as their moods.” ...
One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the imitation game, since it is basically a game in which a computer imitates a conversating human. In an analysis of the Turing Test I will focus on its features, its historical background and the evaluation of its validity and importance.
... in 21th century, and it might already dominate humans’ life. Jastrow predicted computer will be part of human society in the future, and Levy’s real life examples matched Jastrow’s prediction. The computer intelligence that Jastrow mentioned was about imitated human brain and reasoning mechanism. However, according to Levy, computer intelligence nowadays is about developing AI’s own reasoning pattern and handling complicated task from data sets and algorithms, which is nothing like human. From Levy’s view on today’s version of AI technology, Jastrow’s prediction about AI evolution is not going to happen. As computer intelligence does not aim to recreate a human brain, the whole idea of computer substitutes human does not exist. Also, Levy said it is irrelevant to fear AI may control human, as people in today’s society cannot live without computer intelligence.
Carr captures his audience's attention by using an allusion from “Stanley Kubrick’s movie 2001, A Space Odyssey”. He stated the essay with “Dave, stop will you?” and the Supercomputer HAL plead. Any reader who has watch A Space Odyssey or interested in supercomputers to read his article. He highlights the fact that a computer could think for you. The states, “I’ve had an uncomfortable sense that someone, or something, has been tinkering with my brain(Is google making us stupid? By Carr page 2)”. He made a point that the more people are found of the internet the more we lose ability to deep think.
Once Deep Blue supercomputer defeated chess grandmaster Kasparov, he, Kasparov, thought what would happen if “humans and computers collaborated” (Thompson 343)? Kasparov figured that it would be a symbiotic relationship in which “each might benefit from the other’s peculiar powers” (Thompson344). A Notably example would a 2005 “freestyle” chess tournament, which consisted of teams with computers and chess players. With a tournament full of computers and chess grandmasters, the winners were amateur chess players Cramton and Zackary (Thompson345). The reason why these players were able to win is because they were “expert[s] at collaborating with computers.” By themselves these players would not have the skills to take on such talented players, but since Cramton and Zackary were able to know “when to rely on human smarts and when to rely on the machine’s advice” they were able to succeed (Thompson 345). These players were able to harness the power of the symbiotic relationship between man and machine. In conclusion, when it comes down to the wire on “who’s smarter-humans or machines; the answer is neither, it’s both working side by side” (Thompson 347). In addition, the benefits of these digital gadgets can be summarized into three
Artificial Intelligence is a term not too widely used in today’s society. With today’s technology we haven’t found a way to enable someone to leave their physical body and let their mind survive within a computer. Could it be possible? Maybe someday, but for now it’s just in theory. The novel by William Gibson, Neuromancer, has touched greatly on the idea of artificial intelligence. He describes it as a world where many things are possible. By simply logging on the computer, it opens up a world we could never comprehend. The possibilities are endless in the world of William Gibson.
IBM has created the image ¡§Solutions for a Little World¡¨. Its products and components in other firm products are so widespread that people around the world associate the name IBM with computing functions.
The concepts of the development of artificial intelligence can be traced as far back as ancient Greece. Even something as small as the abacus has in someway led to the idea of artificial intelligence. However, one of the biggest breakthroughs in the area of AI is when computers were invented.
When most people think of artificial intelligence they might think of a scene from I, Robot or from 2001: A Space Odyssey. They might think of robots that highly resemble humans start a revolution against humanity and suddenly, because of man’s creation, man is no longer the pinnacle of earth’s hierarchy of creatures. For this reason, it might scare people when I say that we already utilize artificial intelligence in every day society. While it might not be robots fighting to win their freedom to live, or a defense system that decides humanity is the greatest threat to the world, artificial intelligence already plays a big role in how business is conducted today.
Most of the day the human mind is taking in information, analyzing it, storing it accordingly, and recalling past knowledge to solve problems logically. This is similar to the life of any computer. Humans gain information through the senses. Computers gain similar information through a video camera, a microphone, a touch pad or screen, and it is even possible for computers to analyze scent and chemicals. Humans also gain information through books, other people, and even computers, all of which computers can access through software, interfacing, and modems. For the past year speech recognition software products have become mainstream(Lyons,176). All of the ways that humans gain information are mimicked by computers. Humans then proceed to analyze and store the information accordingly. This is a computer's main function in today's society. Humans then take all of this information and solve problems logically. This is where things get complex. There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBM's Deep Blue defeated the world champion in a game of chess(Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASA's Deep Space One probe left with software that lets the probe diagnose problems and fix itself(Lyons).
Our minds have created many remarkable things, however the best invention we ever created is the computer. The computer has helped us in many ways by saving time, giving accurate and precise results, also in many other things. but that does not mean that we should rely on the computer to do everything we can work with the computer to help us improve and at the same time improve the computer too. A lot of people believe that robots will behave like humans someday and will be walking on the earth just like us. There should be a limit for everything so that our world would remain peaceful and stable. At the end, we control the computers and they should not control us.
Recently, the media has spent an increasing amount of broadcast time on new technology. The focus of high-tech media has been aimed at the flurry of advances concerning artificial intelligence (AI). What is artificial intelligence and what is the media talking about? Are these technologies beneficial to our society or potential threats? Medical facilities, police departments, and manufacturing plants have all been changed by AI. Will machine language and artificial neural network replace humans in the future?
Shyam Sankar, named by CNN as one of the world’s top ten leading speakers, says the key to AI evolvement is the improvement of human-computer symbiosis. Sankar believes humans should be more heavily relied upon in AI and technological evolvement. Sankar’s theory is just one of the many that will encompass the future innovations of AI. The next phase and future of AI is that scientists now want to utilize both human and machine strengths to create a super intelligent thing. From what history has taught us, the unimaginable is possible with determination. Just over fifty years ago, AI was implemented through robots completing a series of demands. Then it progressed to the point that AI can be integrated into society, seen through interactive interfaces like Google Maps or the Siri App. Today, humans have taught machines to effectively take on human jobs, and tasks that have created a more efficient world. The future of AI is up to the creativity and innovation of current society’s scientists, leaders, thinkers, professors, students and