Artificial Intelligence and Machine Learning
Artificial Intelligence & Machine Learning here we get started!! Now the terms ‘Artificial intelligence & Machine learning’ are closely related and it’s not wrong to say that the abstraction level between these two words is fairly thin line and they can be interchangeably huge. But, when we say AI or ML what most people think is the same old terminator movie : / you think that there’s gonna be some TX9000 machine that’s gonna come up from the future and destroy entire humanity. You start panicking and you going to think that there’s no need of programmers in the future and a lot of queries. Hold on, this is not a fictional movie If this could have been true, so, we should stop
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AI traditionally refers to an artificial creation of human-like intelligence that can learn, reason, plan, perceive, or process natural language. These traits allow AI to bring immense socio-economic opportunities, while also posing ethical and socio-economic challenges. Artificial intelligence is further defined as “narrow AI” or “general AI”. Narrow AI, which we interact with today, is designed to perform specific tasks within a domain (e.g. language translation).
General AI is hypothetical and not domain specific, but can learn and perform tasks anywhere. Applications based on AI are already visible in healthcare diagnostics, targeted treatment, transportation, public safety, service robots, education and entertainment etc., Together with the Internet, AI changes the way we experience the world and have the potential to be a new engine for economic
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Artificial Intelligence is the study of man-made computational devices and systems which can be made to act in a manner which we would be inclined to call intelligent. The ability of a machine communicating using natural language over a teletype to fool a person into believing it was a human. “AGI” or “artificial general intelligence” extends this idea to require machines to do everything that humans can do, such as understand images, navigate a robot, recognize and respond appropriately to facial expressions, distinguish music genres, and so on.
Current Uses of AI: Although artificial intelligence evokes thoughts of science fiction, artificial intelligence already has many uses today.
• Email filtering
• Personalization of online services with the help of your previous purchases
• Fraud detection in Banking sector to identify unexpected activity, such as foreign transactions, could be flagged by the algorithm.
• Speech recognition: Applications use artificial intelligence to optimize speech recognition functions. Examples include intelligent personal assistants, e.g. Amazon’s “Alexa” or Apple’s
For example, machines cannot just appear or maintain by themselves, they need human to design, to build, to establish programs, and so on, to be able
For example, “smart” televisions, “smart” toasters, and even “smart” toothbrushes rest in homes across the world. The goal of a smart device is to improve user interaction, achieved by collecting data. Where the data ends up sparks national controversy – no one truly knows. As a result, users question the features
has a human mind because the A.I. is creating to pass this exam. Nowadays, A.I. can do only a task that exactly decided, for example automated drive, doing chess game, or Siri in the iPhone. In addition, there is a problem of language. Even if the A.I has a great system of managing language, it is impossible to use language in true meaning. It is only the ability that human have.
The story begins in Flint, Michigan, 1993 and revolves around a “colored” skinned family name the Watsons. The whole story takes perspective of a little boy named Kenny, who is misunderstood yet smart, and is the middle child the Watsons. He has his Mama and Dad, his sister, and his older brother is Byron, who ever since turned 13 years old, he took an official role as a “juvenile delinquent.” Kenny’s younger sister is Joetta, who takes up the role as the “tattle-tale.” One day, Mama and Dad decide that it’s time for a road trip and visit Grandma, who lives way down south.
The power and capability of technology has grown significantly over the past five years. Further research has been done as these advanced technologies has been implemented into numerous things such as, autonomous driving cars, drones, and robots. These devices are taking over tasks that has been done by humans in the past. These devices soon may be smarter than humans in the future as an event called the singularity may occur. Singularity is the "hypothetical moment in time when artificial intelligence and other technologies have become so advanced that humanity undergoes a dramatic and irreversible change" (oxford).
Google says that its main objective is to “organize the world’s information and make it universally accessible and useful” (324). It was designed to be useful, but as Google founder Larry page states Google is “really trying to build artificial intelligence and to do it on a large scale.” Artificial intelligence is the hardest problem to solve out there (325). It is only in companies’ economic interest to create things that put a strain on our reading and concentration levels (326). Stanley Kubrick’s dark prophecy is that if people continue to rely on computers to give them the answers to the world, their intelligence flattens into artificial intelligence (328).
Humans might not be able to identify machine intelligence if it’s present since the subject is still an unclear field in science.
In his essay “Minds, Brains, and Programs”, John R. Searle argues that a computer is incapable of thinking, and that it can only be used as a tool to aid human beings or can simulate human thinking, which he refers to as the theory of weak AI (artificial intelligence). He opposes the theory of strong AI, which states that the computer is a mind and can function similarly to a human brain – that it can reason, understand, and be in different cognitive states. Searle does not believe a computer can think because human beings have programmed all the functions it is able to perform, and that computers can only compute (transform) the information it is given (351ab¶1). Searle clarifies the meaning of understanding as he uses it by saying that an
Based upon the analysis, Parnas’ article is geared more towards people involved in the field of Artificial Intelligence where Eldridge’s article is geared towards people who are not necessarily knowledgeable about Artificial Intelligence yet are interested to learn more about the topic. Throughout the article, Parnas maintains the skeptical attitude towards Artificial Intelligence, literally ending with “Devices that use heuristics to create the illusion of Intelligence present a risk we should not accept” (Parnas, 6). Eldridge on the other hand, maintains a positive attitude throughout the article despite the shortcomings of AI. Together, both authors provide compelling arguments for and against Artificial
Web. 01 Nov. 2015. Artificial Intelligence has been a positive impact in the working field by being trained in less than thirty minutes to have common sense and adapt to the environment. In 2011, there was a sale hit of $8.5 billion worth of industrial robots sold. There is currently about 1.1 million working robots in the workforce reducing the delivery time by 20 percent.
— Bill Gates Bottom Line Artificial intelligence was once a sci-fi movie plot but it is now happening in real life. Humans will need to find a way to adapt to these breakthrough technologies just as we have done in the past with other technological advancement. The workforce will be affected in ways difficult to imagine as for the first time in our history a machine will be able to think and in many cases much more precisely than
Defining intelligence is a very difficult proposition and one which Alan Turing attempted to avoid answering as regards machine intelligence in the Imitation Game which has become known as the Turing Test (Turing, 1950). He posed the question “Can machines think?” which is he developed to ask if machines are able to converse in a way that can persuade humans they too are human. A machine is declared to have passed the test if human judges are unable to tell the difference between a human and a computer through a typed conversation. He suggested that a machine that persuades 70 per cent of human judges after five minutes of conversation should be deemed to have passed the test.
Technology and new innovations are welcome in the society of the twenty-first century. Technology is advancing every year, and it is being integrated into everyone’s daily life. Technology like smartphones, computers, smartwatches, smart glasses, smart tv’s, and game consoles are being incorporated into people’s homes, jobs, education, transportation, and medicine. Technology makes it easier for people to communicate effortlessly over long distances. People have the ability to search for an abundance of information at their fingertips.
Rise of Artificial Intelligence and Ethics: Literature Review The Ethics of Artificial Intelligence, authored by Nick Bostrom and Eliezer Yudkowsky, as a draft for the Cambridge Handbook of Artificial Intelligence, introduces five (5) topics of discussion in the realm of Artificial Intelligence (AI) and ethics, including, short term AI ethical issues, AI safety challenges, moral status of AI, how to conduct ethical assessment of AI, and super-intelligent Artificial Intelligence issues or, what happens when AI becomes much more intelligent than humans, but without ethical constraints? This topic of ethics and morality within AI is of particular interest for me as I will be working with machine learning, mathematical modeling, and computer simulations for my upcoming summer internship at the Naval Surface Warfare Center (NSWC) in Norco, California. After I complete my Master Degree in 2020 at Northeastern University, I will become a full time research engineer working at this navy laboratory. At the suggestion of my NSWC mentor, I have opted to concentrate my master’s degree in Computer Vision, Machine Learning, and Algorithm Development, technologies which are all strongly associated with AI. Nick Bostrom, one of the authors on this article, is Professor in the Faculty of Philosophy at Oxford University and the Director at the Future of Humanity Institute within the Oxford Martin School.
I do not believe the field has been developed to its potential in any regard, and feel that considerable progress can be made to improve the interactive experience that users have with an artificial intelligence application. This genuine intrigue combined with my curiosity for the subject matter and the limitless potential of the field are the reason why I wish to pursue a greater depth of knowledge in artificial