Download or read book How Artificial Intelligence Raise Efficiency written by Johnny Ch Lok and published by . This book was released on 2020-08-13 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: How (AI) technology impacts on labor workplace.The future influence any organizations how labor economies use of (AI) can be analyzed, such as deep machine learning is based on a set of model high level data. Unlike human workers, the machines are connected the whole time in workplace. If one machine makes a mistake, all autonomous systems will keep this in mind and will avoid the same mistake the next time. Over the long run intelligent machines will win against every human expert. Production robots have been replacing employees because of the (AI) technology. They work more precisely than humans and cost loss. Creative solutions like 3D printers and the self learning ability of these production robots will replace human workers, the automatic data recording and data processing, traditional back office activities are no longer in demand. Autonomous software will collect necessary information and will send it to the employee who needs it. Additionally, dematerialization leads to the phenomenon that traditional physical products are becoming software. For example, CD or DVDs are being replaced by streaming services. The replacement of traditional event ticket, e-travel ticket service products or hard cash will be the next step, due to the possibility of payment by smartphone. So, (AI) technology will impact human's daily life consumption behaviors in the future. For another example, transportation tools, such as boats and ferries and private vehicles will use sensors and navigating without human input. Taxi and truck drivers will become obsolete, the stock store applies to stock managers and postal carriers of the delivery is distributed by (AI) machine delivery method.

Download or read book Low Power Computer Vision written by George K. Thiruvathukal and published by CRC Press. This book was released on 2022-02-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2019-05-22 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley

Download or read book How Artificial Intelligence Raises Efficiency and Performance written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why will (AI) technologic knowledgeable robotic workers be raised productivity ?Future, (AI) robotic workers can assist knowledge labors to raise productivity from internet channel. Social science can explain knowledgeable jobs will be useful and popular and assisting labors to raise productivity to work at home online working environments. Within social science, in such discipline is sociology and human psychology and geography which indicates internet technology have changed to online working place environment, sense of working place, online employee role identity, everyday online work and life style, website global working communication and email online communication working interconnections. It seems internet brings access to social, economic and political resources to effect change to both individual and social working conditions, such as employers accept to attempt to use internet to assist office staffs to work at home, e.g. many book publishing businesses like to attempt to publish electronic books from online book store, instead of book shops channel to sell paper books. So these online book stores give chance to authors to publish electronic books or online paper books from online sale channel to earn loyalty income. For example, Amazon online electronic bookstore can publish electronic books and online paper books to sell all one day 24 hours to any countries' readers from its website, so when any countries' readers can enter its website to choose any different kind of subjects of electronic books to buy by visa card conveniently. Such as fiction, psychology, economy, science, law, architecture, medicine, commerce, management etc. subjects. So, any country's reader who does not need to buy air tickets to go to the country's book shop to buy the paper book, who only needs to pay visa card to buy the electronic or online paper books from Amazon publishing's website to buy any countries' electronic and paper books and then the overseas reader can choose either to download it from whose home computer or pays more price to deliver the online paper book to post to whose country conveniently. Hence, this online bookstore sale method will be popular and many free work authors will choose to work to raise the productivity of more quality electronic books numbers from this internet channel. However, the consequences of global change are far from uniform with globalizing influences and adapted as new technological, economic and online working cultural experiences are incorporated by any countries' staffs of any cities, towns and rural areas into their everyday work lives from long distance easily. Since one company can employ different countries' staffs to work from internet working channel at their homes. For example, a America company can employ overseas countries' staffs to work at the same time together by sending job duties from email communication channel among them when the America company has any job arrangement to notify to any staff to finish it any time, then the overseas staff finish the job and who can send whose finished documents to whose America employer any time. It seems the overseas staffs whose working hours can be flexible and those working hours have no regular office working hours to be fixed time table, so they do not need to work in any fixed working time table every working days, who can send their finished office documents to whose employers after who have finished their documents by either email communication channel or office online website downloads office download any time conveniently.

Download or read book Artificial Intelligence Raises Efficiency In Manufacturing Industry written by Johnny Ch Lok and published by . This book was released on 2019-12-11 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.However, if (AI) technology could dominate global labor markets. If labor productivity increases, do not influence to wage increases, then the large economic gains brought about by (AI) technology could be increased wealth inequality, due to employers can reduce production cost, but workers ( labors) wages will not be increased, even will be decreased. Hence, it seems the (AI) technology will bring disadvantages to labor market to cause unemployment or reduce wages in possible, although it can reduce employer individual salary (wage) expenditure and it can raise productivity.⦁How can artificial intelligence impact global economy growth?Artificial intelligence (AI) technology is a branch of computer science that aims to create intelligent machines that work and react like humans. So, (AI) is a technology that appears to impact ( influence) human preference by learning, understanding complex contents, enhancing humans in executing both routine and non-routine tasks. In the future, (AI) technology that can be virtual personal assistant, as well as it may exist, such as robots with human-like processing capabilities

Download or read book Why Artificial Intelligence Raises Efficiency written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why will (AI) technologic knowledgeable robotic workers be raised productivity ?Future, (AI) robotic workers can assist knowledge labors to raise productivity from internet channel. Social science can explain knowledgeable jobs will be useful and popular and assisting labors to raise productivity to work at home online working environments. Within social science, in such discipline is sociology and human psychology and geography which indicates internet technology have changed to online working place environment, sense of working place, online employee role identity, everyday online work and life style, website global working communication and email online communication working interconnections. It seems internet brings access to social, economic and political resources to effect change to both individual and social working conditions, such as employers accept to attempt to use internet to assist office staffs to work at home, e.g. many book publishing businesses like to attempt to publish electronic books from online book store, instead of book shops channel to sell paper books. So these online book stores give chance to authors to publish electronic books or online paper books from online sale channel to earn loyalty income. For example, Amazon online electronic bookstore can publish electronic books and online paper books to sell all one day 24 hours to any countries' readers from its website, so when any countries' readers can enter its website to choose any different kind of subjects of electronic books to buy by visa card conveniently. Such as fiction, psychology, economy, science, law, architecture, medicine, commerce, management etc. subjects. So, any country's reader who does not need to buy air tickets to go to the country's book shop to buy the paper book, who only needs to pay visa card to buy the electronic or online paper books from Amazon publishing's website to buy any countries' electronic and paper books and then the overseas reader can choose either to download it from whose home computer or pays more price to deliver the online paper book to post to whose country conveniently. Hence, this online bookstore sale method will be popular and many free work authors will choose to work to raise the productivity of more quality electronic books numbers from this internet channel. However, the consequences of global change are far from uniform with globalizing influences and adapted as new technological, economic and online working cultural experiences are incorporated by any countries' staffs of any cities, towns and rural areas into their everyday work lives from long distance easily. Since one company can employ different countries' staffs to work from internet working channel at their homes. For example, a America company can employ overseas countries' staffs to work at the same time together by sending job duties from email communication channel among them when the America company has any job arrangement to notify to any staff to finish it any time, then the overseas staff finish the job and who can send whose finished documents to whose America employer any time. It seems the overseas staffs whose working hours can be flexible and those working hours have no regular office working hours to be fixed time table, so they do not need to work in any fixed working time table every working days, who can send their finished office documents to whose employers after who have finished their documents by either email communication channel or office online website downloads office download any time conveniently.

Download or read book Artificial Intelligence How Raises Productive Efficiency written by Johnny Ch Lok and published by Independently Published. This book was released on 2020-11-06 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Can (AI) technology replace human labour nature of work to raise better productivity and efficiency? On technological innovation reason view point, the history development of artificial intelligence studying the intelligence is one of most ancient scientific discipline. The history development of artificial intelligence what aims to achieve human use to sense, learn remember and think, logic probability, decision making and calculation develop from mathematics, instead of replacement human labor functions.Artificial intelligence history development aim is the scientific analysis of skills in connection and practice with the appearance of computers from 1950 year beginning. The artificial intelligence (AI) can deal with the ultimate challenges. How can ( either biological or electronic) mind sense, understand and manipulate a world that is much simple and more complex than itself? And what if would human like to construct something with such capabilities? The general-purpose software of the early period of (AI) were only able to solve simple tasks effectively and failed when which should be used in a wider range or an more difficult tasks. One of the sources of difficulty was that early software had very few or mix knowledge about the problems which handled, and activities successes by simply syntactic manipulation. Moreover, the other difficulty was that many problems that were tried to solve by the (AI) were untreatable. The early (AI) software whether trying step sequences based on the basic facts about the problem that should be solved, experimented with different combinations till which found a solution. From the end the 1960 year, developing the so-called expert systems were emphasized. These systems had ( sue-based) knowledge base about the field which handled. Till to the beginning of the 1970 year, ( Prolog) the logical programming language was born, which was built in the computation realization of a version of the resolution calculus. ( Prolog) is a remarkably prevalent tool in developing expert systems ( on medical, judiciary and other scopes), but natural language parsers were implemented in this language. Then, in 1981 s, the Japanese announced the fifth generation computer system project, a 10 years plan to build an intelligent computer system that use the ( Prolog) language as a machine code. Nowadays, (AI) can be applied any industries, such as car manufacturing industry can use (AI) technological machine-men manufacture car, instead of replacing human labors in factory. Even, in the future, using (AI) machine-men drivers can drive any private cars or public transportation tools, instead of replacing human drivers, e.g. bus, train, tram, ferry etc. Also in the future, machine-men can replace housewives to serve families to do housekeeping clean job, e.g. cleaning toilets, bathrooms, kitchens, even cooking functions at home. So (AI) machine-man can reduce housewives works at home. Moreover, (AI) machine man can take care old people, when who are living at homes or elder care centers. So, it seems artificial intelligence (AI) will be possible developed to manufacture a new generation machine-man to assist ( serve) families to do any simply cleaning or cooking jobs at homes. Moreover, the overall demand of ( AI) general social needs will also rise, such as security, driving transportation tools, restaurant cleaning, elder centers care service etc. (AI) will have chance often to practise to do its tasks every day. It is possible that it can improve worker individual simple job duty to raise productivity and efficiency to be fast.

Download or read book How And Why Artificial Intelligence Raises Productive Efficiency written by Johnny Ch Lok and published by . This book was released on 2021-04-17 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why does (AI) and digital transformative combination technologies raise productivity growth or improve service performance? From 1995 to 2004 year, US experienced an acceleration in productivity growth, largely reflecting gains associated with the diffusion of ICT technologies. From the early to mid-2000 year onward, productivity growth has slowed down. The potential impacts of the ongoing digital transformation on productivity also need to consider in the context of this long term slowdown. When, the precise reasons for today's productivity remain difficult to a number of factors are likely to contribute as below factors: The first factor that has limited the impacts of digital transformation is the state of diffusion of digital technologies across the economy. When, many firms now have across to broadband networks, the use of more advanced digital tools and application with firms still differs greatly across countries. Moreover, these are important differences between rapid technological change, advanced technologies are initially only adopted by some leading firms and then only later diffuse to all firms as the technologies because more established new business models grow, such as applying digital and (AI) technological combine method to raise productivity growth is caused and costs fall. Consequently, these is large demand between what can be automated from a technical point of view and what may already be implemented by frontier firms and what is actually being achieve to raise productivity growth aim. So, (AI) and digital transformative technology influence future raising productivity growth or improving service aim achievement for many manufacturing and service industry demand.The second factor indicator that the available evidence suggests that the wide-spread benefits of digitalization productivity are not enough. Firms expect to help strengthen investment ( in tangible and intangible assets), e.g. (AI) technology. The same time, there are now starting to experience labor shortages, e.g. in certain technical occupations, such as data scientists. Due to the technological change is fast and growing demand for productivity growth has been increasing. SO, it will influence future (AI) robotic learning system and digital technological combination to be applied to manufacturing and service industries' needs to be raised. Due to many firms expect to find methods to raise productivity growth in order to reduce production costs.However, (AI) and digital technological development can cause multiple forms of disruption, from shifts in demand for workforce skills to changes in market structure, the need for new business models, new patterns of trade and investment. The (AI) and digital potentially transformative technologies can create new inventions, e.g. from quantum computing and advanced energy storage to new forms of 3D printing, big data analytics and neuro-technologies. These new product creative industries must lead the new product manufacturers to expect to learn how to apply (AI) and digital technology to raise productivity growth when their manufacturing processes. IN fact, (AI) is the ability of learning machine and system to acquire and apply knowledge and carry out intelligent behavior. Early efforts to develop (AI) centered on defining rules that software could use to perform a tack, such systems would work in speech recognition, (AI) skill. Increase in computational power, new statistical methods and advances in big data, have brought major breakthroughs to the field of (AI), especially in " vertical " (AI) like automated vehicles as opposed to " general". (AI) with machine learning algorithms that identify complex patterns in large data sets. Software applications can perform tasks and simultaneously learn how to improve productive performance.

Download or read book Artificial Intelligence Raises Efficiency and Productivity written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-09 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel. Above of all these, they will be the barriers when one food supplier expects its (AI) digital data gather questionnaires which can conclude the most accurate prediction concerns any kinds of consumer food product choices. So, such as (AI) digital data prediction model, it is needed to incorporate into the food market segmentation, food customer targeting, and food challenging decisions with the goal of maximizing the total food customer lifetime. For example, (AI) big data gather transaction data is reasonable and accurate for building predictive models. Transaction data can be electronically collected and readily made available for data mining in lot quantity at minimum extra costs.Suggestion to apply (AI) prototypes of food customer profiles method to predict food customer behavioral changes. Prototypes of food customer profiles mean to be extracted from the discovered bins and multi-class classifies models are built using those prototypes. The learned models can than be used to predict the class of food customer profiles ( e.g. restaurants, school canteens, supermarkets etc. food suppliers) based on their food purchases. The approach is validated on the case study of a food retail and food service company operating in food and beverages market.

Download or read book Why Can Artificial Intelligence Raise Orgnizational Efficiency and Productivity written by Johnny Ch LOK and published by . This book was released on 2018-11 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book aim to explain how and why whether artificial intelligence ( big data gathering tool) is better method to compare economic or statistics or psychological methods to predict consumer behavior. If future artificial intelligent technology can be developed to apply to predict consumer behavior, what requirements does it need to achieve consumer psychological prediction function? In future, organizations to consider how to raise staff efficiency and performance in order to raise productivity. I shall give opinions to explain how to attempt to apply (AI) technology to make psychological analysis to assist any organizations to make more accurate raising performance and efficient methods.In my this book part five, I shall explain future how to attempt to apply (AI) technological method to give psychological recommendation to any organizations to assist them to raise staff efficiency. I shall attempt to indicate how to apply (AI) psychological recommendation technology to give any efficient performance opinions to let these organizations to learn, such as marketing consultant organization, basketball team organization, interior decorating organization, bank organization, hotel organization, university organization, film organization, nuclear factory organization ,electronic assemblies factory organization, medical organization and television organization.This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assist businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.

Download or read book Artificial Intelligence Raises Consumption Market written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-30 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: IntroductionNowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? All workers are replaced by artificial intelligent robotic machine or some workers are replaced by artificial intelligent robotic machine which can raise more productive efficiencies or improve better service performace ?If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.This book concerns how to apply artificial intelligence technology to apply to US some consumption market. I shall explain how to apply (AI) technology to these America consumption market to raise their food or product productivity growth efficiently. I shall indicate some popular American consumption market of some consumer products and foods as well as manufacturers' production of material consumption products. This book brings two questions: (1)Can apply (AI) technology to raise these US food and product productivity growth?(2) Will these US food and product quality influence to be poor after (AI) technology is applied to raise productivity growth ? The manufacturers material and consumers product researching topics include: How to apply (AI) technology to raise future U.S. tobacco productivity growth? How to apply (AI) technology to raise steel material productivity growth for manufacturing industries? How to apply (AI) technology to raise minerals productivity growth for U.S. manufacturing industries? How to apply (AI) technology to improve oranage fruit and vegetables logistic transportation speed in efficient way in warehouses? How to apply (AI) technology to improve U.S. alcohol logistic transportation speed in efficient way in warehouse? How to apply (AI) technology to improve U.S. energy service performance to satisfy energy users' needs? How to apply (AI) tehnology to improve wine and tea logistic transportation speed in warehouse? How to apply (AI) technology to improve pork logistic transportation speed in warehouse? How to apply (AI) technology to improve U.S. tourism entertainment service performance to satisfy traveller needs? How to apply (AI) technology to impove sugar logistic transportation speed in warehouse? How to apply (AI) technology to raise lighting product productivity growth ?

Download or read book How Artificial Intelligence Raises Efficiency And written by Johnny Ch Lok and published by . This book was released on 2019-06-02 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying (AI) robotic workers to raise Walt Disney entertainment theme park service performance3.1Disney (A) robotic service workersHow and why can apply (AI) robotic service workers to serve Disney visitors to let them to feel Disney can provide more warm service performance when they are visiting to Disney entertainment theme park . I shall indicate how to apply (AI) robotic customer service workers to assist enterprises to predict what are clients' preferable choices to increase more attractive effort to win competitors. Enterprises include Walt Disney entertainment theme park how it applied knowledge management psychological method to attract more visitors; Universities why need to consider campus building location and course teaching methods to attract students' choices; airlines why need to consider how flight gas or oil price influences to passengers' choices; underground train enterprises why need to consider route location influences to passengers' transportation choices; Finally, environment protection product firms why need to consider what environment pollution benefits to society to influence businessmen decide to buy environment protection products of choices.

Download or read book Can Artificial Intelligence Raise Productivities and Efficiences written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-16 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Can (AI) technology replace human labour nature of work to raise better productivity and efficiency? On technological innovation reason view point, the history development of artificial intelligence studying the intelligence is one of most ancient scientific discipline. The history development of artificial intelligence what aims to achieve human use to sense, learn remember and think, logic probability, decision making and calculation develop from mathematics, instead of replacement human labor functions.Artificial intelligence history development aim is the scientific analysis of skills in connection and practice with the appearance of computers from 1950 year beginning. The artificial intelligence (AI) can deal with the ultimate challenges. How can ( either biological or electronic) mind sense, understand and manipulate a world that is much simple and more complex than itself? And what if would human like to construct something with such capabilities? The general-purpose software of the early period of (AI) were only able to solve simple tasks effectively and failed when which should be used in a wider range or an more difficult tasks. One of the sources of difficulty was that early software had very few or mix knowledge about the problems which handled, and activities successes by simply syntactic manipulation. Moreover, the other difficulty was that many problems that were tried to solve by the (AI) were untreatable. The early (AI) software whether trying step sequences based on the basic facts about the problem that should be solved, experimented with different combinations till which found a solution. From the end the 1960 year, developing the so-called expert systems were emphasized. These systems had ( sue-based) knowledge base about the field which handled. Till to the beginning of the 1970 year, ( Prolog) the logical programming language was born, which was built in the computation realization of a version of the resolution calculus. ( Prolog) is a remarkably prevalent tool in developing expert systems ( on medical, judiciary and other scopes), but natural language parsers were implemented in this language. Then, in 1981 s, the Japanese announced the fifth generation computer system project, a 10 years plan to build an intelligent computer system that use the ( Prolog) language as a machine code. Nowadays, (AI) can be applied any industries, such as car manufacturing industry can use (AI) technological machine-men manufacture car, instead of replacing human labors in factory. Even, in the future, using (AI) machine-men drivers can drive any private cars or public transportation tools, instead of replacing human drivers, e.g. bus, train, tram, ferry etc. Also in the future, machine-men can replace housewives to serve families to do housekeeping clean job, e.g. cleaning toilets, bathrooms, kitchens, even cooking functions at home. So (AI) machine-man can reduce housewives works at home. Moreover, (AI) machine man can take care old people, when who are living at homes or elder care centers.

Download or read book How Robots Help Office to Raise Efficiency written by Johnny Ch LOK and published by . This book was released on 2021-05-28 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) technology is a branch of computer science that aims to create intelligent machines that work and react like humans. So, (AI) is a technology that appears to impact ( influence) human preference by learning, understanding complex contents, enhancing humans in executing both routine and non-routine tasks. In the future, (AI) technology that can be virtual personal assistant, as well as it may exist, such as robots with human-like processing capabilities. How can (AI) technology impact global economy growth over the next 10 years? During this time period, (AI) technology is predicted to have wide-ranging applications including: Machine learning that automates analytical model building by using algorithms that allow machines to operate without human assistance. In global education aspect, potential applications include predicting cause-and-effect relationships from biological data, identifying new drugs, self-driving cars, and protecting against fraud, improved natural language processing that allows computers to continue to better analysis, understand and generate language to interface with humans using natural human languages. For example, transcribing notes dictated by physicians, automatically drafting articles and translating text and speech. So (AI) technology can be applied to education aspect to improve humans' knowledge level. In visual art aspect, (AI) machine vision that allows computers to identify objects, scenes and activities in images. Current applications of (AI) machine vision include providing objective descriptions for the blind seeing( visual) needs. We except the economic effects of (AI) technology to include both direct GDP growth from sectors that develop or manufacture. (AI) technology and indirect GDP growth through increased productivity in existing sectors that employ some form of (AI). If (AI) technology is an increasingly critical component of more products, it will become an integral part of many people's lives. Thus, (AI)'s ability to influence economic activity, rather than the economic or development status of the region. (AI) has the potential to impact income classes and to bring significant gains to both developed and developing countries. For example, (AI) has the potential to optimize good production around the world by analyzing agricultural regions and identifying what is necessary to improve crop yields. In estimating the future economic effects by (AI) technology innovation, it is important to note that it is challenging to accurately predict which applications of (AI) will ultimately be commercially successful. In micro level economic influence, we need to apply methodologies to estimate the economic effects of investment in firms developing (AI) technology since investment levels in a technology are a telling sign of the future potential of that (AI) technology.

Download or read book Artificial Intelligence in Society written by OECD and published by OECD Publishing. This book was released on 2019-06-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Download or read book Artificial Intelligence How Raises Productivities And Efficiences written by Johnny Ch Lok and published by . This book was released on 2019-10-06 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) researchers are native in a variety of domains, e.g. formal tasks ( mathematics, games), tasks ( perception, robotics, natural language, common sense reasoning), expert tasks ( financial analysis, medical diagnostics, engineering, scientific analysis and other areas). From the second business perspective reason view point, (AI) is a set of many powerful tools, and methodologies for using those tools to solve business problems. From a programming perspective reason view point, (AI) includes the study of symbolic programming problem solving and search . From the third human technological perspective reason view point, today's computer can do many well-defined tasks, for example, arithmetic operations, are much faster and more accurate than human beings. However, the computers' interaction with their environment is not very sophisticated yet. How can human test whether a computer has reached the general intelligence level of a human being? Can a computer convince a human interrogator that it is a human? But before thinking of such advanced kinds of machines, human will start developing our own extremely simple " intelligent" machines. So, it is possible that human society job efficiency and performance and productivity will to be changed better, due to artificial intelligent robots are applied to assist human to do anything when (AI) technology is developed to the mature stage in the future.⦁Why does human need artificial intelligence machines?One of major division in (AI) is between humans who think (AI) is the only serious way of finding out how we ( human) work and human who want companies to do very smart things, independently of how we ( human) work. This is the important distinction between cognitive scientists vs engineers. One of another major division in (AI) is between symbolic (AI), which represents information through symbols and their relationships. Specific Algorithms are used to process these symbols to solve problems or deduce new knowledge and connectionist. So ( AI), which represents information in network. Biological processes underlying learning, task performance and problem solving are imitated from human mind behaviors. Thus, it is possible that artificial intelligence machines can do the better human task behavior to achieve productivity and efficiency raising.⦁How does artificial intelligence influence future working changing in automation employment and productivity aspects?(AI) influences the automation working changing aspect, as companies increasingly use robots on production lines or algorithms to optimize their logistics manage inventory, any carry out other core business functions. Technological advances are creating a new automation age in which ever-smarter and more flexible machines will be deployed on an ever larger scale in the marketplace. However, researching artificial intelligence with how influences human working nature. We need to answer these questions: How will automation transform the workplace? What will the implications for employment? What is likely to be its impact both on productivity in the global economy and on employment?

Download or read book Time Pressure Raises Efficient Or Inefficient Artificial Intelligence Performance written by Johnny Ch Lok and published by . This book was released on 2019-07-21 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: -Can (AI) influence global economy growth?Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.