Artificial Intelligence for Speech Recognition - 1676 Words

ARTIFICIAL INTELLIGENCE FOR SPEECH RECOGNITION THE FUTURE OF HUMAN EVOLUTION ABSTRACT: When you dial the telephone number of a big company, you are likely to hear the sonorous voice of a cultured lady who responds to your call with great courtesy saying â€Å"welcome to company X. Please give me the extension number you want† .You pronounces the extension number, your name, and the name of the person you want to contact. If the called person accepts the call, the connection is given quickly. This is artificial intelligence where an automatic call-handling system is used without employing any telephone operator. Artificial Intelligence (AI) involves two basic ideas. First, it involves studying the thought processes of human beings. Second, it†¦show more content†¦Inevitably Artificial Intelligence has, and will continue to affecting our lives. Artificial Intelligence (AI) Effort to develop computer-based systems: ï‚ § that behave like humans: ï‚ § learn languages ï‚ § accomplish physical tasks ï‚ § use a perceptual apparatus With t he development of practical techniques based on AI research, advocates of AI have argued that opponents of AI have repeatedly changed their position on tasks such as computer chess or speech recognition that were previously regarded as intelligent in order to deny the accomplishments of AI. They point out that this moving of the goalposts effectively defines intelligence as whatever humans can do that machines cannot. A speech recognition system is a type of software that allows the user to have their spoken words converted into written text in a computer application such as a word processor or spreadsheet. The computer can also be controlled by the use of spoken commands. Speech recognition software can be installed on a personal computer of appropriate specification. The user speaks into a microphone (a headphone microphone is usually supplied with the product). The software generally requires an initial training and enrolment process in order to teach the software to recognize th e voice of the user. A voice profile is then produced that is unique to that individual. This procedure also helps the user to learn how to speak to a computer. WORKING: The user speaksShow MoreRelatedArtificial Intelligence For Speech Recognition1178 Words   |  5 PagesName Magnus Oforji 1. Title Artificial Intelligence for Speech Recognition 2. Introduction: Research Context from siri to self-driven cars, artificial intelligence is on a rapid progression. While science fiction often portrays or visualises artificial intelligence as robots with human-like characteristics, artificial intelligence can encompass anything from google search algorithms to IBM Watson’s to Autonomous weapons. Artificial astuteness (AI) for verbalization apperception involves two fundamentalRead MoreThe Controversy of Artificial Intelligence1476 Words   |  6 PagesThroughout its history, artificial intelligence has always been a topic with much controversy. Should human intelligence be mimicked? If so, are there ethical bounds on what computers should be programmed to do? These are a couple of question that surround the artificial intelligence controversy. This paper will discuss the pros and cons of artificial intelligence so that you will be able to make an educated decision on the issue. What is Artificial Intelligence? The first step in getting anywhereRead MoreSpeech Conversion Using Neural Networks1063 Words   |  5 PagesCS 549 TOPICS IN ARITIFICIAL INTELLIGENCE TEXT TO SPEECH CONVERSION USING NEURAL NETWORKS Project Report Firstly, Artificial Intelligence was used in 1956, at the Dartmouth conference and from then it is expanded because of various proposed theories and many new principles developed by its researchers. It is an area of computer science that focusses on creating machines that can engage on behaviors of humans, solve the computational models for complex problems. Here Neural Networks are a computationalRead MoreThe Pros And Cons Of Artificial Intelligence1245 Words   |  5 Pagescontain computers. It is for this reason that computers and their software should become more intelligent to make our lives easier. Artificial Intelligence systems can and will benefit us all, however many have constantly warned that making computers too intelligent can be to our downfall. Artificial Intelligence has been around for years, but what is artificial intelligence? It is an artifact to perform the same kinds of functions that characterize human thought processes. The possibility of developingRead MoreComputer Science And Artificial Intelligence1712 Words   |  7 Pageslanguages and artificial intelligence. Artificial Intelligence Artificial intelligence can be defined as the theory that a technological system such as computers are able to independently perform tasks that would normally require the operation of a human being to achieve. The primary goal of an artificial intelligence system in a machine is to autonomously make decisions based on its perceived environment and efficiently complete a range of given tasks. Artificial intelligence in all forms seeksRead MoreCase Study : Sales Experience1368 Words   |  6 Pagesreceived a $2.6M seed round in February 2017, led by Allen Institue and the Madrona Venture Group. Focused on speech and visi- on recognition. China-based Raven Tech developed a voice assistant similar to Siri got bought by Baidu in February 2017. Baidu is one of the three key players in the Chinese market, along iFlyTek and Apple. Canada-based fluent.ai, fo- cused on speech recognition and intending to improve its accuracy and reliability. Not solely focused on English but top 38 languages. US-basedRead MoreIntroduction To Weakness Artificial Intelligence1060 Words   |  5 Pages301 October 10, 2017 Over the past decade, Artificial intelligence has grown to become a prominent element in the technological world and continues to expand rapidly. Artificial intelligence, defined by Dictionary.com, is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Artificial intelligence has advanced far enough to the capability ofRead More The Roots of Artificial Intelligence Essay example2180 Words   |  9 PagesThe Roots of Artificial Intelligence The roots of artificial intelligence can be traced back to ancient Greece with myths like that of Pygmalion, which incorporated the idea of an intelligent robot. These early thoughts soon developed into stories like Mary Shelley’s Frankenstein in 1818, which was the story of a monster created by man and brought to life. These stories make for interesting fireside tales and bedtime reading, but where did artificial intelligence truly get itsRead MoreThe Age Of Spiritual Machines1299 Words   |  6 Pagesbook The Age of Spiritual Machines, explores how advancements in artificial intelligence (AI) in the 21st century will benefit mankind as human lives integrate with machines. Though released much later, in 2013, the film Her reflects many similar ideas as those presented by Kurzweil regarding the future of artificial intelligence. The film is set in the mid-21st century and highlights the rapid advancements of artificial intelligence. Though Kurzweil’s book covers predictions for many decades, whileRead MoreResearch Paper On Artificial Intelligence1641 Words   |  7 Pages Troy University IS 3310: XTIB Introduction to Information Systems and Data Analytics Artificial Intelligence Brittany Cook July 20, 2017 Abstract This research involves discovering how Artificial Intelligence (AI) has progressed and how it could potentially replace mankind. The goal of this research is to provide examples of how Artificial Intelligence is incorporated into our daily lives and provides an easier way of living. Today, we live in a world where technology is constantly

How Effective Is Cooling Down Free Essays

?How effective is sweating at cooling you down? DC The temperature of each test tube that contains water which had different conditions that was measured each minute Temperature (Â ±0. 05 Â °C) Minute Dry Dry/Windy Wet Wet/Windy 1 77 82 70 76 2 75 80 64 70 3 72 76 59 65 4 69 73 55 60 5 67 71 53 57 6 65 68 50 53 7 64 66 48 51 8 63 64 46 48 9 61 61 44 46 10 59 60 42 44 11 58 58 41 43 12 56 56 40 41 13 55 55 39 40 14 54 53 38 38 15 53 52 37 37 (All number is put into one whole number) DCP The percentage change of the temperature of each test tube that contains water which had different conditions that was measured each minute + average percentage change Percentage change in temperature (Â ±0. 5 %) Trials Dry Dry/Windy Wet Wet/Windy 1 27 34 31 67 2 31 37 47 51 3 29 60 4 34 32 61 75 5 37 42 52 62 6 31 53 7 35 41 57 63 8 29 39 53 60 9 35 38 61 70 10 37 43 57 54 11 30 36 52 60 Average 32 38 53 62 (All number is put into one whole number) Calculations: Percentage Change in temperature: (Final-Initial)/Final x 100 = % change Initial Data chosen: Dry; Final=53, initial=79. We will write a custom essay sample on How Effective Is Cooling Down or any similar topic only for you Order Now 9-53/79 x 100 = 33% Average percent change in temperature: The sum of all percent changes in temperature for dry / the number of percentages 27 + 31 + 29 + 34 + 37 + 31 + 35 + 29 + 35 + 37 + 30/11 = -32% average percent change in temperature Conclusion The experiment was designed to investigate how sweating is effective on cooling you down. Four test tubes containing water that was all in different conditions of one being a normal test tube covered in newspaper, the same but was blown with a fan, a wet test tube covered in newspaper and the same one that was blown with a fan. For fifteen minutes, the temperature of the water in the test tube is measured every minute. The results above have shown that the test tube that was covered with dry newspaper’s percentage change is not that great from the original to the final temperature, as it is only 32%. As wind is blown to the same dry newspaper test tube, the percentage change of the temperature increase, being 38%. When it comes to the test tube covered with the wet newspaper the percentage change increase much more with a 53 % change. The highest percentage change, with 62% is the test tube that was covered with wet newspaper and blown by the wind. In theory, as our body heats up over the normal temperature, our body senses that there is an increase in heat, therefore it releases heat as sweat to cool us down. This is monitored by a part of our brain called the hypothalamus which monitors the temperature of blood in our body. The hypothalamus sends signals when our blood temperature increases or decreases. It sends signals because there is a change in levels, this called negative feedback. The signals sent is then carried by neurons to other parts of the body, this process happens by the arterials being widen, which then will make the blood flow through our skin. Consequently, our shunt vessels will close; the blood will then transfer heat from our body core to the skin. Thus the temperature of our skin will increase, which then eventually cause our body to sweat. Based on the results that were obtained from the data were similar to the theory, when our body is wet, the temperature changes and decreases more. Similar from the data above, the wet newspaper had a 53% changed compared to 32% dry newspaper. This indicates that when our body is wet, there is a higher chance of a larger percentage change than being dry. Same, when the wind blows to the newspaper, it made it faster for the temperature to return normal. Furthermore, the Standard Deviation error bars are not too far apart to the column thus it shows that my data is fairly accurate. Evaluation Limitations Why? Suggestion The different initial temperature of water Because the water that was poured into the test tube had different temperatures at the start, the change in temperature of each test tube aren’t constant By boiling the water in a specific temperature, so that when it is poured the temperature will be the same The layering of newspaper for each test tube When the layering of the newspaper is thick, it will keep the test tube slow down the rate of changing temperature, with a thin newspaper, it will be faster Keep the newspaper layering at the same thickness, make sure each test tube is covered in the same amount of layers Difficult to tell the temperature through the test tube/newspaper Because we can’t raise the thermometer up, there was a difficulty in reading it, as it was covered by the newspaper, so then we had to guess sometimes By layering it with something more translucent, so that it will be easier to see The different distance of the fan As there was no standards for the length of distance of the fan to the test tube, the percentage change will not be precise By making the distance from the fan to the test tube a control, thus having the same distance for each How to cite How Effective Is Cooling Down, Papers

Knowledge Management In E-Commerce Samples †MyAssignmenthelp.com

Question: Discuss about the Knowledge Management In E-Commerce. Answer: Knowledge Management and e-Commerce Knowledge Management refers to the process of making the right knowledge available for all. It needs to be mentioned that in todays world, knowledge management is given utmost importance at the time of business decision-making (Hislop, 2013). Different types of business activities are done with the help of knowledge managemnment like data storage, data retrieval system, analysis of business data, application of different kinds of business designs and many others. Thus, it can be said that there is a significant importance of knowledge management in the business organizations. On the other hand, twenty-first centuries has seen the progress and expansion of e-commerce for different kinds of business industries like retail business industries and others. In todays business environment, e-commence plays an integral part in breaking down the geographical barrier from the business. The use of e-commerce is helping the business organizations in different kinds of ways. Significant connectio n can be seen between knowledge management and e-commerce as without the help of effective knowledge, it is not possible to access various aspects of e-commerce (Holsapple, 2013). Thus, it can be said that both the aspects of knowledge management and e-commerce are crucial in the business organizations. In todays business organizations, the effective management of knowledge has significant importance. In order to gain necessary competitive advantage, it is necessary for the business organizations to create and diffuse knowledge. At the time of discussing about knowledge management, it is necessary to discuss about certain specific characteristics of knowledge. They are: the use of knowledge does not consume knowledge; at the time of transferring knowledge, there is not any lost of knowledge; the nature of knowledge is abundant, the ability to use knowledge is considered as scare; at the end of the day, much of the valuable knowledge of the companies walk out from the door (Liebowitz Frank, 2016). These are the major characteristics of knowledge. Some specific objectives are there behind the use of knowledge management in the business organizations as the use of knowledge management helps in the achievement of these objectives. The first objective is facilitating in the processing o f smooth business transactions. The second objective is minimizing the loss of corporate memory due to various reasons like retirements, attrition and many others. The third major objective of the use of knowledge management is the identification of critical resources and critical areas of knowledge in the business organizations. The fourth objective is to develop tools for the companies so that potential loss of intellectual capital can be prevented. These are the major objectives of knowledge management (Holtshouse, 2013). One of the major aspects is that in the business organizations, the management of knowledge leads to the creation of knowledge in the business organizations. It is the concern of many of the organizations managers that how to distribute knowledge among the members and employees of the companies. Another major aspect is how to capture the organizational knowledge after distributing them among all the employees and members of the companies. It can be seen that different types of business organizations use different approaches in order to distribute and capture knowledge in the companies. It can be seen that most of the companies use the knowledge in order to develop and address critical performance of the business organizations (Lin, Ma Zhou, 2012). It can be seen that most of the business organizations have been able to create a specific environment that is full of knowledge and this process helps the business organizations in the process of decision-making. On the other hand, it has been seen that the adoption and use of various digital platforms has made it easier for the organizational managers for the capturing of knowledge (Fuller, 2012). Thus, from the above discussion, it can be seen that knowledge management helps the business organizations from different angles. In this regard, it needs to be mentioned that two kinds of knowledge can be seen in the business organizations. They are Explicit knowledge and Implicit knowledge. In the business organizations, explicit knowledge in the business organizations can be captured and written down in the business document or business database (Siemens, 2014). Thus, it can be seen that explicit knowledge can be used for further references in the companies. Some of the major examples of explicit knowledge are instruction manuals, different written procedures, learned lessons, best practices and others. Another type of organizational knowledge is tacit knowledge (Zhang, Pablos Zhang, 2012). Tacit knowledge is the kind of knowledge that the organizational people capture in their heads. It can be said that that the nature of tacit knowledge is less concrete than that of explicit kn owledge. As per the above discussion, it can be said that knowledge management plays integral part in the development of different aspects of the businesses. In case of the employees of the organizations, knowledge management plays an important role (Argote, 2012). Knowledge management helps the employees to perform their job responsibilities by saving the time. In addition, knowledge management helps the organizational managers in the decision-making process and in the solving of various types of organizations problems (Wiig, 2012). The management of knowledge helps the employees to stay up to date and it helps to develop bandings among the organizational employees. Knowledge management largely contributes towards the development of the business organizations. With the help of knowledge management, the business organizations are able to drive the organizational strategy (Ritala et al., 2015). For example, the knowledge management strategy of Australian Local Government Association can be men tioned. With the help of Local Government Knowledge Management toolkit, the staffs of the organization use to recognize the opportunities in order to discover and share knowledge. With the assistance of knowledge management, the business organizations are able to implement different kinds of best practices in the companies. The employees of the companies become able to improve their knowledge regarding the various products and services of the companies. A positive connection can be seen between innovation and knowledge management as knowledge management helps the business organizations to implement various aspects of innovation. Most importantly, it needs to be mentioned that the business organizations become able to get necessary competitive advantage with the effective management of knowledge (Durst Runar Edvardsson, 2012). For another example, ARK Group Australia can be considered. In this organization, the expert panel of the company uses the discussion of various strategies, c ase studies and others in order to share knowledge in the organizations. In this way, the company uses to manage the organizational knowledge. Based on the above discussion, it can be said that with the help of knowledge management, both the business organization and organizational people can become largely beneficial. Another major aspect of the business organizations is the use of e-Commerce. E-commerce refers to the process of online transactions of the companies (Laudon, K. C., Traver, 2013). In this regard, it needs to be mentioned that there are six kinds of categories of e-commerce; they are Business-to-Business (B2B), Business-to-Consumer (B2C), Consumer-to-Consumer (C2C), Consumer-to-Business (C2B), Business-to-Administration (B2A) and Consumer-to-Administration (C2A). In case of B2B, online business transactions take place between the companies (Chiu et al., 2014). In case of B2C, the online business transactions take place between the businesses and final consumers. In C2C, online transactions take place between consumers. It needs to be mentioned that with the help of e-commerce, business organizations can avail some major benefits. They are discussed below: There are some major benefits of the use of e-commerce in the business organizations. First, with the assistance of e-commerce facility, the business organizations can conduct the processes of buying and selling in a quick basis, as online transactions do not take much time to be processed (Sila Dobni, 2012). This is also convenient for the buyers as they can search and buy products without losing additional time. Second, a major advantage of e-commerce is that the business organizations can carry on the process of buying and selling on 24x7 (Andam, 2014). In this case, the example of Kogan can be considered. Kogan is an Australian homegrown online retailer. The customers of this company can order various kinds of food products from online. This company is well known for its e-commerce based business model. As the process of buying and selling continues for all the time, the business organizations become able to fetch more amounts of revenues and profit (Chavan, 2013). Third, this i s the most important benefit of e-commerce as it helps to break down all geographical barriers at the time of business operations. E-commerce can be held responsible for the expansion of businesses as there is not any geographical barrier. Businesses of one country or state easily operate their business operations with the companies from another country or state (Mohapatra, 2013). In this process, the companies do not have to bear high operational costs and at the same time, companies are able to provide superior quality of services with the help of e-commerce. In the recent years, virtual companies without any physical presence are being developed with the help of various e-commerce facilities and this process helps to reduce the operational costs of the companies (Rule, 2012). From the perspective of the customers, they can easily select and purchase products without moving around from one place to another (Barnes Hunt, 2013). At the same time, customers do not have to bear any s witching costs in this process. Thus, from the above discussion, it can be seen that there are many benefits of e-commerce for the business organizations. From the above discussion, it can be seen that both knowledge management and e-commerce have their significance in todays businesses. Companies can improve their business operations with the help of knowledge management as this process helps to capture and store knowledge in the companies. On the other hand, with the help of e-commerce facilities, companies can expand their businesses without any geographical constrain. Both of the aspects helps to reduce the operational costs of the companies by increasing the efficiency of the business operations. References Andam, Z. R. (2014). e-Commerce and e-Business. Argote, L. (2012).Organizational learning: Creating, retaining and transferring knowledge. Springer Science Business Media. Barnes, S., Hunt, B. (Eds.). (2013).E-commerce and v-business. Routledge. Chavan, J. (2013). Internet banking-Benefits and challenges in an emerging economy.International Journal of Research in Business Management,1(1), 19-26. Chiu, C. M., Wang, E. T., Fang, Y. H., Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e?commerce: the roles of utilitarian value, hedonic value and perceived risk.Information Systems Journal,24(1), 85-114. Durst, S., Runar Edvardsson, I. (2012). Knowledge management in SMEs: a literature review.Journal of Knowledge Management,16(6), 879-903. Fuller, S. (2012).Knowledge management foundations. Routledge. Hislop, D. (2013).Knowledge management in organizations: A critical introduction. Oxford University Press. Holsapple, C. (Ed.). (2013).Handbook on knowledge management 1: Knowledge matters(Vol. 1). Springer Science Business Media. Holtshouse, D. K. (2013).Information technology for knowledge management. Springer Science Business Media. Laudon, K. C., Traver, C. G. (2013).E-commerce. Pearson. Liebowitz, J., Frank, M. (Eds.). (2016).Knowledge management and e-learning. CRC press. Lin, Y., Ma, S., Zhou, L. (2012). Manufacturing strategies for time based competitive advantages.Industrial Management Data Systems,112(5), 729-747. Mohapatra, S. (2013). E-commerce Strategy. InE-Commerce Strategy(pp. 155-171). Springer US. Ritala, P., Olander, H., Michailova, S., Husted, K. (2015). Knowledge sharing, knowledge leaking and relative innovation performance: An empirical study.Technovation,35, 22-31. Rule, C. (2012). Quantifying the economic benefits of effective redress: Large e-commerce data sets and the costbenefit case for investing in dispute resolution.U. Ark. Little Rock L. Rev.,34, 767-833. Siemens, G. (2014). Connectivism: A learning theory for the digital age. Sila, I., Dobni, D. (2012). Patterns of B2B e-commerce usage in SMEs.Industrial Management Data Systems,112(8), 1255-1271. Wiig, K. (2012).People-focused knowledge management. Routledge. Zhang, X., De Pablos, P. O., Zhang, Y. (2012). The relationship between incentives, explicit and tacit knowledge contribution in online engineering education project.International Journal of Engineering Education,28(6), 1341.