... search "AI" redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines."[4] AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. There are subfields which are focussed on the solution of specific problems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particular applications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are...
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...from Adamson University, for her guidance and support throughout this study. Thank you Ma’am Casas for sharing your knowledge in this subject and its application in life. I believed I learned from the best. Thank you to my friends and especially to the sisters in my dormitory who are always there for me in my ups and downs in life. You guys made my life extra special. Lastly, I give thanks to the Almighty God for being there for me. This project will never exist if you weren’t here for me. Gracias! Table of Contents I. Introduction 4 II. Computers, Robots, and Artificial Intelligence 5 a. Computer 6 b. Artificial Intelligence and Robots 7 III. Information Age and Information Society 8 a. Knowledge 9 b. Global mind 10 c. Global brain 11 IV. The Machine and the Machine of Mind 12 a. The Machines of Mind 13 b. The Most Human Mind of Machines 14 V. Conclusion 16 I. Introduction Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: speech recognition, learning, planning and problem solving. Artificial intelligence is a...
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...However, in the 21st century, we exchange our skills and knowledge into different amounts and types of labor in which later deems your economic and social status. Today in American society, a person's credentials are judged on “having a university degree,” proving your abilities, skills, manners, follow through/determination. However, this is purposed to change as “artificial intelligence starts taking jobs away from white-collar workers. As well, America’s Bureau of Labour Statistics shows that four of the five fastest-growing occupations in the country involve personal care; none of those jobs require a bachelor’s degree.” (The Economist Group...
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...own creations: robots. People fear that it may happen now and is already in progress. A quiet robotic revolution is taking place. And it may not be as bad as people imagined. Due to countless innovations and developments that were taking place in the 20th century, many have prospered and is now integrated into the daily lives of human beings. Artificial Intelligence, combined with robotics will help increase in economic growth, improve businesses, provide comfort to the general populations, decrease crime rates and educate people in a more systematically efficient manner. Admittedly, A.I. may put millions out of jobs and mayforce them to learn a new...
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...Artificial Intelligence (AI), a branch of computer science, is the study of intelligent systems (i.e. software, computers, robots, etc.). Alternatively, it may be defined as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines." AI research is highly technical and specialised, deeply divided into subfields that often fail to communicate with each other.Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. There are subfields which are focused on the solution of specific problems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particular applications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.General intelligence (or "strong AI") is still among the field's long term goals. Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods...
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...intelligence research is very highly technical and specialized, and is deeply divided into sub fields that usually often fail to communicate with each other. Some of the division is due to social and cultural factors meaning that it will or will not function because of our multicultural race. Some sub fields have grown up around particular institutions and the work of individual researchers. Artificial intelligence research is also divided by several technical issues. Some sub fields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications(Artificial Intelligence, A.G. Cohn, R. Dechter).The central problems, or goals of AI research include reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General artificial intelligence or strong artificial...
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...However, within the corporate world, AI is widely used for complex problem-solving and decision-support techniques in real-time business applications. The business applicability of AI techniques is spread across functions ranging from finance management to forecasting and production. In the fiercely competitive and dynamic market scenario, decision-making has become fairly complex and latency is inherent in many processes. In addition, the amount of data to be analyzed has increased substantially. AI technologies help enterprises reduce latency in making business decisions, minimize fraud and enhance revenue opportunities. Definition of AI AI is a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. AI technologies bring more complex data-analysis features to existing applications. There are many definitions that attempt to explain what Artificial Intelligence (AI) is. I like to think of AI as a science that investigates knowledge and intelligence, possibly the intelligent application of knowledge. Knowledge and Intelligence are as fundamental as the universe within which they exist, it may turn out that they are more fundamental. One of the aims of AI is said to be the investigation of human cognition and AI is part of Cognitive Science. AI is really an investigation into the...
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...Technology on the Culture 12 The Japanese Robot Economy 15 Japanese Robotic R & D Economy 17 Sales of Robotic Technology 18 The Workforce Economy 19 Economic Conclusion 20 Government Impacts 21 Public Projects Impact 22 Economics Impact 23 Technology Impacts 23 Moral and Ethical Consideration 24 Positive Impact 24 Negative Impact 25 Conclusion 27 References 28 Introduction Robots of any style and kind have been on people’s minds since the beginning of the technological ages. We see through time where our imaginations have expended when it comes to think about Robots and what we think they will become. We used to think of Robots as multiple armed machines that could cook eggs, pour coffee, and flip eggs. These robots would mimic human behaviors and motions. Then we see cartoons of robots that gave us dreams of robot maids and robot machines that would supply us with any food of our choice, and have it fully cooked, and delivered through a tube. However, now-a-days, we have evolved to higher technology and have even greater imaginations (Niku, 2001). Although, there is one country that surpasses all when it comes to robots and robotics, and that country is Japan. When we think of Japan we think of a country that has always been at the cutting edge of most anything. Having this cutting edge has set Japan above the technology curve when compared to the rest of the world. Japanese scientists have known that robots will become a very powerful component...
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...MAN V/S MACHINE: HOW TECHNOLOGY FORCES US TO CONSTANTLY REINVENT OURSELVES Changes: 4 pages double spaced excluding cover page and appendix Honor code agreement on cover page Read lili’s final email SUMMARY Despite breakthroughs in technology driven innovation and gains made business systems, both in terms of improved productivity and economic growth, there is no guarantee that all members of the society will automatically reap the benefits. The media loves to talk about these developments as these topics make compelling stories. Arguably, these developments seem to herald a positive transformation of society characterized by higher outputs per capita, but we must also be aware of the risks that these changes pose to society at large. As is expected of any major transformation, we know that there will be winners, and there will be people who come out at the losing end of the bargain. In order to fully take advantage of this change, we will have to learn to be more adaptable and embrace change so that we develop the toolkit to continuously re-invent ourselves. BACKGROUND This is a very exciting time to enter the workforce as a high-value knowledge worker. The coming decades will be witness to unprecedented levels of innovation in the way business is conducted, and most of these innovations will be powered by breakthroughs in technology. Naturally, it is expected then, that such developments will present numerous business opportunities. It is also expected that these...
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...AI research is highly technical and specialized and is divided into subfields. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines”. AI research is divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications. Artificial intelligence is used for logistics, data mining, medical diagnosis and many other areas throughout the technology industry. The success was due to several factors: the increasing computational power of computers, a greater emphasis on solving specific sub problems, the creation of new...
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...I’m going to talk about the idea of progress. First of all I would like to give a definition of this notion : the idea of progress is the theory that the different advances in technology, science, and social organization can produce an improvement in the human condition. That is, people can become happier in terms of quality of life (social progress) through economic development (modernization) and the application of science and technology (scientific progress). Progress implies change and evolution and throughout history most advances have been positive. However the rythm of progress seems to have accelerated over the last few decades and the technological breakthrough and scientific developments are causing some people to question this progress. Should we fear progress ? To answer this question I will present three documents. The first document I have choosen is an excerpt from “O brave new world” by Aldous Huxley. O brave new world is a dystopian novel which anticipates developments in reproductive technology, sleeplearning, psychological manipulation and classical conditioning that combine profoundly to change society. The extract is about reproductive technology. The D.H.C (Director of Hatcheries and Conditioning) is talking about the Bokanovsky’s Progress to a group of students. Humans grow in incubators. Before this progress, they only grew one by one in incubator but with a bokanovskyfied egg it’s possible to make 96 humans grow. Later in the excerpt he ...
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...Springer Series in Advanced Manufacturing Series Editor Professor D. T. Pham Intelligent Systems Laboratory WDA Centre of Enterprise in Manufacturing Engineering University of Wales Cardiff PO Box 688 Newport Road Cardiff CF2 3ET UK Other titles in this series Assembly Line Design B. Rekiek and A. Delchambre Advances in Design H.A. ElMaraghy and W.H. ElMaraghy (Eds.) Effective Resource Management in Manufacturing Systems: Optimization Algorithms in Production Planning M. Caramia and P. Dell’Olmo Condition Monitoring and Control for Intelligent Manufacturing L. Wang and R.X. Gao (Eds.) Optimal Production Planning for PCB Assembly W. Ho and P. Ji Trends in Supply Chain Design and Management H. Jung, F.F. Chen and B. Jeong (Eds.) Process Planning and Scheduling for Distributed Manufacturing L. Wang and W. Shen (Eds.) Collaborative Product Design and Manufacturing Methodologies and Applications W.D. Li, S.K. Ong, A.Y.C. Nee and C. McMahon (Eds.) R. Venkata Rao Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods 123 R. Venkata Rao, PhD Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology, Surat Ichchanath Surat 395 007 Gujarat State India British Library Cataloguing in Publication Data Rao, R. Venkata Decision making in the manufacturing environment : using graph theory and fuzzy multiple attribute decision making methods. - (Springer series in advanced...
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...energy, smart thermostat, and smart contact lens are the unique possibilities to the future and mankind. In the past five years, Google has been known for acquisitioning robotic companies in order to develop their own robotics division; this Research and Development (R&D) laboratory is called Google X. Little is known about Google X and their doings, for security and privacy, just what is permitted and released by their Public Relations office. One of their most important acquisitions was Boston Dynamics who formally worked on robotics projects for the Pentagon (Smith, 2014). Google X is focusing on developing robots to perform the most ordinary of simple tasks around the home and workplace (Mack, 2011). But a more positive aspect is Google’s contribution to the War on Terrorism with their AlphaDog which is currently in training with the Marine Corps. This robot looking dog can be seen as a mule carrying large loads over unfriendly terrain, extremely helpful and import to the Marine mission (Love, 2014). With the much recent procurement of robotic companies there is an underlying tone that suggests that more attention will be pursued in robotics, giving the well-deserved attention needed to boost the...
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...information on the wind speed over the country and particularly on wind speeds at hub heights of wind machines is not available. A previous study (1986) showed that for the wind monitoring stations of Bangladesh Meteorological Department (BMD) the wind speed is found to be low near the ground level at heights of around 10 meter. Chittagong – Cox’s Bazar seacoast and coastal off-shore islands appeared to have better wind speeds. Measurements at 20m and 30m heights have been made later on by BCAS, GTZ and BCSIR. WERM project of LGED for measurements at the height of 20 and 30m were carried out for 20 locations all over Bangladesh (Bangladesh Renewable Energy Report -Asian and Pacific Centre for Transfer of TechnologyOf the United Nations – Economic and SocialCommission for Asia and the Pacific (ESCAP)). The apparent features...
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...THE FUTURE OF EMPLOYMENT: HOW SUSCEPTIBLE ARE JOBS TO COMPUTERISATION?∗ Carl Benedikt Frey† and Michael A. Osborne‡ September 17, 2013 . Abstract We examine how susceptible jobs are to computerisation. To assess this, we begin by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier. Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between an occupation’s probability of computerisation, wages and educational attainment. According to our estimates, about 47 percent of total US employment is at risk. We further provide evidence that wages and educational attainment exhibit a strong negative relationship with an occupation’s probability of computerisation. Keywords: Occupational Choice, Technological Change, Wage Inequality, Employment, Skill Demand JEL Classification: E24, J24, J31, J62, O33. We thank the Oxford University Engineering Sciences Department and the Oxford Martin Programme on the Impacts of Future Technology for hosting the “Machines and Employment” Workshop. We are indebted to Stuart Armstrong, Nick Bostrom, Eris Chinellato, Mark Cummins, Daniel Dewey, David Dorn, Alex Flint, Claudia Goldin, John Muellbauer, Vincent Mueller, Paul Newman, Seán Ó hÉigeartaigh, Anders Sandberg, Murray Shanahan, and Keith ...
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