Role Of Artificial Intelligence In Our Life - Free Essay Example

Sample details Pages: 5 Words: 1432 Downloads: 10 Date added: 2019/08/16 Category Science Essay Level High school Tags: Artificial Intelligence Essay Did you like this example? Artificial Intelligence is the concept and improvement of laptop systems capable of acting responsibilities that commonly require human intelligence inclusive of visual notion speech popularity choice making and translation among languages. synthetic intelligence has its advantages and downsides. A number of those benefits will be the few errors they might make; a number of the ones robots may be used to discover the space that is going to the moon or other planets additionally to find out the non-public oceans and mining. Don’t waste time! Our writers will create an original "Role Of Artificial Intelligence In Our Life" essay for you Create order one in each of the largest blessings that you may want to apply this machinery might be that they do no longer want to sleep and do the entirety without any postpone or waste of time. Artificial Intelligence is probably decreased to the importance of robots and could not show any type of feeling in what refers to medical care in case the time comes or whilst people are modified by means of using robots this makes them enjoy vain and no longer looking to do some aspect else that they will stay and they they will not have artwork or to provide them the maximum easy this will bring about a war and total destruction. there are unique forms of synthetic intelligence which have been superior in brand new years. History Artificial Intelligence is a field in technology that has been around for many years with the contributions of Alan Turing. Turing is considered the father of Artificial Intelligence and one of the precursors of modern computing. He was a mathematician, theoretical computer scientist, cryptographer, an English philosopher. Turing believed that anything ever that humanity can compute could also be computed by his theoretical Turing Machine. After World War 2, Turing was asked to develop a machine, and he provided a detailed design but did not see it built because his partners believed it too difficult. Eventually, his machine would be built by the Royal Society Computing Machine Laboratory in 1948 which was influenced by his work (Encyclopaedia Britannica, 2018). This would be the beginning of AI research. Today, AI is used in more and more areas. Hollywood and the technology companies use it for entertainment and to make apps. Other private sectors use it for tax preparation, songwriting, and digital advertising (Hurd and Kelly, 2018). Governments have also used it for things like medical treatment and to help solve crimes (2018). As AI use increases, it is important to see what the good and bad things are from it. Positives Artificial intelligence has gained great value in recent years. Modern systems have the ability to manage large amounts of data and simplify calculations very quickly. The inventors of artificial intelligence are looking to expand this technology further into the future. therefore, artificial intelligence will achieve greater growth in the coming years. In this way, the artificial intelligence system will surpass and achieve incomparable performance, so much so that it is managing to generalize to the basic tasks of humans. The robots are manufactured in all sizes and are programmed to perform all kinds of functions. They exist from the most basic that perform simple tasks, to the most complex that achieve the same performance as a person with university degrees. Each day different types of machines are built, which perform simple or complex tasks faster than a person. This is leading to increased efficiency for businesses. In their study, Masayuki Morikawa surveyed more than 3000 Japanese businesses and found that they were positive on the increase of AI being used in their company. They also found that the use of AI complimented the skills of current employees with higher degrees, creating a demand for better workers (2016). The benefits and the opportunities with the use of artificial intelligence can help in many ways; Increasing the finances of a business, improving the security this technology could help to diminish the risk of viruses, or solve them and keep companies safe from cyber attacks. In other things for many people this can be a good start for their economy and to be able to maintain control over what they can buy or where it is much better to invest. AI technology is increasingly providing us with new knowledge and information about our actions. Fueled by sensors, data digitization, and ever-increasing connectedness, AI filters, associates, prioritizes, classifies, measures, and predicts outcomes, allowing the federal government to make more informed, data-driven decisions (Maughn 2018). The data-driven decisions the federal government makes is already showing. The testimony of Douglas Maughan state that AI has assisted the Department of Homeland Security in preventing attacks against critical infrastructure like banks and 911 centers. He also spoke about the ability of AI to help with intelligence gathering. For example, Customs and Border Protection has used AI to try and identify travelers that could be a threat to the country (2018). Negatives In terms of employment for people, once AI becomes used more and more, there are concerns expressed by many. Adam Butler quotes that the next 3 years will see half a million more jobs created but also more than half of todays jobs [will become] automated within the next 35 years (2018). The robots are manufactured to work and act like normal equipment since this is seen every day. To the point of becoming so real in some countries already have robots taking over for people: Mexico occupies 30 with 33 robots for every 100 employees, Argentina occupies the 36 with 16 units and Brazil the number 38 with 11 units. The robots are more and more in the whole world and every time it becomes more real and more present than ever (Morikawa 2016). Another issue with AI is the fact that despite not being 100% reliable, people still trust it more than a human. Wagner, Borenstein, and Howard give different examples of when people overtrust AI like a robot. In one study, the people were put in a fake emergency situation and instead of following evacuation signs, they listened to the robot even when they were told before that the robot was broken (2018). This September, the Subcommittee on statistics and technology inside the U.S. house of Representatives launched a file on AI. whilst it did have positives for its use, it additionally spoke about terrible things. The malicious use of AI will trade the manner we construct and manipulate the digital infrastructure in addition to our AI device and this could require many answers and extra employees from distinctive enterprise. What bad results would the awful management of AI deliver us? and the way do we prevent this harm to society? The subcommittee listening to additionally highlighted the want to prepare for and guard against the malicious use of AI. in advance this year, Open AI, a non-income AI studies employer that testified at one of the listening to, co-authored a document findings that accept good enough defenses are evolved, AI development, will result in cyber attacks which might be extra effective, extra finely centered, extra tough to characteristic, and more likely to tak e advantage of vulnerability in AI systems' (Hurd and Kelly, 2018).   Ã‚  Ã‚   For the destiny, all of the writers agree on numerous matters. the first is that the research in artificial Intelligence need to preserve and increase. The federal authorities desires to stay the chief in studies so China cannot beat us (Hurd and Kelly 2018). It also wants to use it to boom use in fatherland security to protect the nation and the peoples within it (Maughan 2018). second is that personal companies need to use it to make better matters that value much less cash to make. Robert Atkinson writes that people should now not worry approximately their jobs being taken by means of robots due to the fact agencies will nonetheless want humans to repair the robots so that you can virtually create extra jobs. He additionally says that whenever in history while a new era comes and decreases jobs at the start, greater jobs come later and that is a advantage for anyone. In end, the synthetic intelligence is reaching a extraordinary balance in everyday lifestyles. despite the fact that robots can replacement human beings in essential jobs which include workers or marketing they can not have their private creativity and no feelings. Conversely, we human beings have a huge range. increasing steps are being taken in phrases of equipment and use of those in distinct factors of each day life. artificial intelligence is a debate among society and people who assist the contribution made to help humanity with the troubles of hunger and above all poverty. in this process, the definition of the vital facts codecs and the corresponding mechanisms to defend security and privacy might be mainly essential.

Father Daughter Relationships Examining Family...

The article, â€Å"Father-Daughter Relationships: Examining Family Communication Patterns and Interpersonal Communication Satisfaction† by Narissra Maria Punyanunt-Carter, published in the Communication Research Reports: Volume 25, No. 1, on February 1, 2008, presents the findings from a study concerning the interpersonal communication satisfaction between fathers and daughters as a result of their communication patterns. Punyanunt-Carter begins her paper by providing details from a literature review she conducted, and then expands to include the research questions, methods, results, discussion and limitations of her study. The literature review addresses the main parameters Punyanunt-Carter uses in her study. She references the work of Fitzpatrick and Ritchie (1990), who created the Revised Family Communication Pattern measurement instrument (RFCP), to measure conformity orientation and conversation orientation. In this study, conformity orientation is defined as the â€Å"a mount of power parents use to make their child conform to the topic† being discussed (Punyanunt-Carter 24). This orientation style is reflective of families that share commonly held beliefs concerning their values and opinions. Also, such families place high emphasis on parental control and children’s obedience. Conversation orientation is defined as the â€Å"amount of encouragement that parents give their child to communicate about his/her thoughts† (Punyanunt-Carter 24). This orientation style is commonly seen inShow MoreRelatedAfrican American Daughters And Non Residential Fathers : A Qualitative Exploration9462 Words   |  38 PagesAfrican American Daughters and Non-Residential Fathers: A Qualitative Exploration La Toi S Smith Chapter 1 Introduction I spent the majority of my life being raised by a single mother due to my parents’ divorce. 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Behavioral Intentions Of Casual Dining Restaurant †Free Samples

Question: Discuss about the Behavioral Intentions Of Casual Dining Restaurant. Answer: 1st March to 16th March: Freshness checking of food and ingredients: I first check the freshness of the food items prepared the previous day. While checking the freshness aspect of the food items, I check the attributes of the food like flavor, colour, taste and other typical attributes which the guests would expect from them (Canny 2014). The next stage is checking the ingredients of the food like the basic raw materials which go into the preparation of the food. The main ingredients which are perishable like chicken and also form the basic raw material for most of the food items are have very short shelf life in spite of refrigeration. So, I would ensure that items like these are fresh and are not showing any sign of degeneration (Ramanathan, Di and Ramanathan 2016). Then I would check the vegetative parts of the food items like lettuce which are subject also to degeneration but stay fresh longer than their non-vegetarian counterparts. Then I would check auxiliary food items like mayonnaise, cheese and other ingredients which are added to render taste to the dishes. Proper storage is very important to keep food items (finished products) fresh, intact and consumable for longer time period. This enables the hotels and restaurants reduce their wastes and save costs of ordering supplies frequently. This enables them to consume maximum supply of raw materials and work in progress items to make finished products. This in turn helps the food manufacturing companies generate maximum revenue and reduce costs, thus increasing their financial sustainability (Hair 2015). That is why I check the storage systems on regular basis to ensure that the storage attributes like temperature are also up to the mark. I, on regular basis ensure that the storage area is free from pests like rats which are easily attracted to these areas due to availability of food. I would immediately inform the store manager or any other responsible person if I find any defect in the area (Nitiwanakul 2018). 17th March to 30th March: Receive and store orders from suppliers: I receive orders on regular basis and store the suppliers in appropriate places. For example, the chicken is stored in the refrigerator to prevent degeneration while the spices are stored in appropriate containers to keep them fresh and free from moisture (Ramanathan, Di and Ramanathan 2016). 1st April to 15th April: Inspect suppliers, equipments and work areas for cleanliness and functionality: The following are the steps which I have to do to ensure the two previous steps discussed are achieved: 16th April to 2nd May: Inspect suppliers: Inspection of suppliers is an important duty which I do to ensure that the supplies of raw materials and intermediary goods I receive are of high quality. High quality raw materials and WIP ensure superior food items which meet the expectations of the customers. These food items help the hotel create a niche for itself among the customers which in turn helps it to generate huge revenue and goodwill. The restaurants today in order to retain and expand their consumer bases rely on offering food products from specific regions of the world like Mexican and American dishes. Hence, it is very important for them to acquired special ingredients from specific suppliers to give their dishes authentic tastes. These ingredients lend the authentic tastes and flavours to the offerings (Joyce and Paquin 2016). Thus, it is equally important to inspect and manage suppliers to ensure that they offer the right ingredients of high quality. I inspect the suppliers to ensure that they supply high quality raw materials and ancillary ingredients like exotic spices. I first inspect the stock of raw materials and WIPs available with the restaurant against the estimated numbers of future orders receivable. Then I point out the requirements for materials and communicate it with the store managers. They place orders well ahead of time so that the food preparation can commence smoothly. This ensures that the restaurant orders optimum quantity of materials and thus, is able the continue food preparations smoothly (Hugos 2018). 17th April to 2nd May: Equipments: Inspection of equipments is equally important to ensure preparation of high quality food items as inspection of materials. I inspect the equipments which aid in preparation of food items like the oven, the vegetable washers and the grinders. I ensure that they are in proper state and function efficiently. This ensures proper maintenance of these machineries and timely preparation of food (Hair 2015). 3rd May to 15th May: Work areas for cleanliness and functionality: I inspect the work areas to ensure that they are clean and function smoothly. The work areas include the kitchen, the restaurant floor and the lobby. I ensure that the staffs maintain these places efficiently to ensure superior customer services (Ramanathan, Di and Ramanathan 2016). References: Canny, I.U., 2014. Measuring the mediating role of dining experience attributes on customer satisfaction and its impact on behavioral intentions of casual dining restaurant in Jakarta. International Journal of Innovation, Management and Technology, 5(1), p.25. Hair, J.F., 2015. Essentials of business research methods. ME Sharpe. Hugos, M.H., 2018. Essentials of supply chain management. John Wiley Sons. Joyce, A. and Paquin, R.L., 2016. The triple layered business model canvas: A tool to design more sustainable business models. Journal of Cleaner Production, 135, pp.1474-1486. Nitiwanakul, W., 2018. A Comparative study of customer perceived value as a driver for fine dining restaurant selection. AU Journal of Management, 12(1), pp.1-13. Ramanathan, R., Di, Y. and Ramanathan, U., 2016. Moderating roles of customer characteristics on the link between service factors and satisfaction in a buffet restaurant. Benchmarking: An International Journal, 23(2), pp.469-486.

Live Online Training Meet The Ontotext Experts

Live Online Training: Meet The Ontotext Experts The idea behind the previous training-related blog posts What Will You Learn What is a Successful Semantic Technology PoC was to introduce a more detailed look into the upcoming training Designing a Semantic Technology Proof-of-Concept.  This blog post  examines the role of Ontotexts leading experts in the training. Individual Consultation When we were conceptualizing  the idea of the training, in the beginning, we went over a few  setup scenarios. All of them recognized the need of dedicated individual time  as essential to providing targeted guidance and feedback in the process of developing a small but effective Proof-of-Concept. For the upcoming training, we will offer 15  individual consultations to the first people to request them.The individual consultation takes about an hour. It is a chance for the participants to go over their projects specific objectives and scope and discuss Semantic Technology implementation as well as data challenges with  domain experts.Get a chance to address your projects specific requirement with our experts in the domains of Life Science, Healthcare, Publishing Media, Natural Language Processing, Text Analysis, Ontology and Vocabulary Management and others.Training  ConsultantsBelow are some of the many Semantic Technology professionals who had a leading role in Ontotext s major business cases such as AstraZeneca, BBC, Financial Time and Babylon Health. You will have a chance to talk to them after subscribing for this training.Vladimir Alexiev,  PhD. Lead of Data and Ontology Management Vladimir’s experience includes ontology engineering, metadata standards, vocabularies and thesauri, RDF, RDFS, OWL2, SHACL, SKOS, SPARQL, LOD, mapping, R2RML, ETL, semantic web applications, project management, business analysis and requirements specifications. He has worked in various business domains, from Customs and Excise, to Personal Finance workflows, to Legal Procedures and Statistics, to Cultural Heritage and Digital Humanities.Project lead: Europeana Creative, Europeana Food and Drink and EHRITodor Primov, Product Manager of Life Science Pharma Solutions Todor has multiple successful projects behind his back in data integration for life sciences, including highly scalable sequence repositories, semantic meta data integration of biomedical entities, interactive visualization of data. He participated in the specification, implementation, deployment and the support of the first National Health Portal and Integrated Personal Health Record in Bulgaria.Project lead: KConnectOther projects: LarKC, Linked Life DataIvelina Nikolova, PhD. NLP Engineer Ivelina has experience in various projects for semantic textual enrichment and document classification. Her main expertise is in the area of information extraction such as named entity recognition, event recognition and relation extraction with state-of-the-art natural language processing techniques.Projects: EHRI, PHEME, Euromoney, IETAlexander Popov, PhD Candidate. NLP Engineer Alex has an MSc in Computing from Imperial College London and is currently a Ph.D. candidate, with a focus in Computational Linguistics and, more specifically, Word Sense Disambiguation with neural networks. He has worked on information extraction and machine translation projects, as well as on building lexical semantic language resources (such as a Bulgarian version of WordNet). He also has a strong background in Theoretical and Applied Linguistics.Projects: Financial Times, IET,  QTLeap ProjectInterested? Go to our training page where you can learn details  or contact the team for specific questions.