Discussion 1
by Hardik Mistry – Wednesday, July 14, 2021, 8:30 AMNumber of replies: 0
In PC design, the word artificial intelligence (AI) represents human vision displayed with some sort of PC robot or even with elective devices. Similarly, use, fabricated knowledge indicates the experience of a single PC or framework to emulate the limitations of one’s psyche: obtaining models and experience, understanding things, perceiving and responding to speech, which is purposeful, addressing the problems, and in any case, mixing them together with different skills to perform acts that an individual might do, such as praising a retreat guest or coercing a vehicle (Goel, 2021).
Artificial Intelligence As mentioned earlier, artificial cunning is where it is now, yet some of it has existed longer than one might imagine. The following are just two or three of the most frequent illustrations (Straub et al., 2013):
Speech Recognition: Also referred to as direction in text (STT), language recognition is an AI design that initiates spoken expressions and converts them to text. Speech recognition has its ability to force PC or PC transcription applications, TV voice controllers, voice-enabled content signaling along with GPS, along with voice-activated phone call menus.
Ordinary Language Management (NLP): NLP uses an application program, a PC or even a framework to learn, interpret and even produce text. NLP could be your AI on the back of your electronic peers (like Siri and Alexa above), chatbots, and even amazing content-based computer aids. An NLP couple works by using the assessment test to discover the elective attitude, manner or conceptual characteristics within the discourse (Straub et al., 2013).
Image recognition (individual vision or frame vision): mechanical advancement of artificial intelligence that can separate and order things, people, creation and, in addition, exercises within moving or static illustrations. As is customary in major neural organizations, image recognition can be used for single brand identification procedures, cellular test archiving projects, clinical and video image evaluation, driverless cars, and more.
Authentic rules: Retail and gastronomy web destinations use neural organizations to request additional purchases or biased sites to intrigue a person who relies on past customer activities, the latest exercise of various customers, along with various things, which they incorporate current weather and climate. Studies have found that web tracks can generate between 5% and 30% revenue (Straub et al., 2013).
Adware and Spam Aversion – After being checked by talented rule-based devices, spam and infection locator apps use leading neural organizations that can figure out how to discover new types of spam and infections in a similar way as quickly as possible to prepare them.
References
Straub, J., & Huber, J. (2013). A characterization of the utility of using artificial intelligence to test two artificial intelligence systems. Computers, 2(2), 67-87. doi:http://dx.doi.org
Goel, A. (2021). The association for the advancement of artificial intelligence’s new award for the societal benefits of artificial intelligence – an interview with richard tong. AI Magazine, 42(1), 95-100. Retrieved from https://www.proquest.com
Discussion 2
by Bharat Azmera – Wednesday, July 14, 2021, 1:17 AMNumber of replies: 0
Artificial intelligence helps in the improvements in the new technologies in organizations or workplaces. It can do every single work that a human does. While artificial intelligence performs the tasks repetitively, it allows the human to do other jobs that might be creative and empathize with others. Every single organization uses the algorithms and performs many more pieces of training based on the computer. To create expert systems that provide intelligent behavior, AI and machine learning are used, which also help provide solutions to the organization’s issues. It also helps develop stimulations that are similar to the intelligence of humans. In order to build a system, there must be code that is efficient and is bug-free. This AI helps to increase productivity by using the codes, and it overcomes the bugs found during the process. It will suggest the developers with a set of algorithms that are already pre-designed in order to minimize the time of the development. The AI systems are integrated with the learning networks, and to reduce the time and the cost of the process, it focuses on automating the back-end process. The mistakes are considered as the lessons that will not repeat during the operation of the task. Using artificial intelligence in the information systems will optimize the threats and enable the developers with the codes for better functioning (Cassell, 2019).
Artificial intelligence is a branch of computer science that involves the development of computer software or hardware components that are able to perform tasks that would be performed with human intelligence in a normal setting. These tasks may involve speech recognition, perceptions, language translations, or even decision making. The developed applications are able to scrutinize their environments and make viable decisions on tasks based on predetermined rules, data analysis, or pattern recognition mechanisms. The artificial Intelligence can be on the way to make up a model where it behaves because nothing can replace a natural thing into an artificial think. Artificial intelligence Research progressed, and it made to feel that there is something very strange to happen in the coming years. How many robots may exist, but the robots cannot completely replace a human. We can also see some robots in the restaurants where they are taking the order and delivering the food. In this modern era, self-driving cars also come into existence with the help of GPS technology they are working in some countries. It is also found that the Machines can also operate in some certain situations where humans cannot be due to some emotions. The human body has a brain where it is connected to the body and can be very complex but here the medical science is not able to alter any part of the human (Simanowski, Brodmer & Chase, 2019).
References
Cassell, J. (2019). Artificial Intelligence for a Social World. Issues in Science & Technology, 35(4), 29
Simanowski, R., Brodmer, M., & Chase, J. (2019). On the Ethics of Algorithmic Intelligence. Social Research, 86(2), 423–447
Discussion 3
by Karan Sharma – Tuesday, July 13, 2021, 6:17 AMNumber of replies: 1
Artificial Intelligence (AI) is the simulation of the intelligence that human being possesses by machines, for example, computers, in conducting operations without or very little human interventions (Bartneck et al., 2019). There are different use of artificial intelligence whereby some machines are used in performing the industrial processing jobs, offering information technology security like the voice recognition, natural language processing, among other activities.
There are different types of artificial intelligence; for example, there is the analytical artificial intelligence whereby they are machines that are that helps in deep learning and scanning huge amount of data whereby they get the patterns that later helps human beings getting business insights thus making an informed decision (Davenport, 2018). There is also the function of AI whereby it is also used in analyzing the vast amount of data and getting helpful insights, but instead of giving recommendations, they take action and solve the issue at hand (Wang, 2018). There is also the interactive artificial intelligence whereby the machines are used in the business like performing some operations that are performed by the human being, and at sometimes they interact with human beings, for example, the chatbots which answer customer’s questions. There is also the text AI whereby they are used in text recognition, speech-to-text conversion, text translation, etc. (Lee et al., 2020).
Human beings and artificial intelligence have the ability to live together and coexist peacefully. Human uses the artificial intelligence to perform activities that can be seen to be so hard, risky and even impossible for the human being to perform and therefore making them achieve their objectives. Also, human beings and artificial intelligence such as the machine can collaborate when performing their activities whereby it can be like a teamwork in work which will definitely result in high profit for the organization (Saithibvongsa & Yu, 2018).
References
Bartneck, C., Lütge, C., Wagner, A., & Welsh, S. (2021). What Is AI? An Introduction to Ethics in Robotics and AI.
Davenport, T. H. (2018). From Analytics to Artificial Intelligence. Journal of Business Analytics 1(2):1-8.
Lee, L. W., Dabirian, A., McCarthy, I. P., & Kietzmann, J. (2020). Making Sense of Text: Artificial Intelligence-Enabled Content Analysis. European Journal of Marketing ahead-of-print(ahead-of-print).
Saithibvongsa, P., & Yu, J. E. (2018). Artificial Intelligence in the Computer-Age Threatens Human Beings and Working Conditions at Workplaces. Electronics Science Technology and Application 5(3).
Wang, Q. (2018). An Overview of Functional Components of Artificial Intelligence Financial Decision Support System. Open Journal of Social Sciences 06(08):115-126.
Discussion 4
by Pramod Maddireddy – Sunday, July 11, 2021, 1:00 PMNumber of replies: 0
Artificial Intelligence and its Coexistence with Humans
Artificial Intelligence (AI) is the machines and technology system that possess human capacity for reasoning and problem-solving. It ensures systems can contemplate, judge, and purpose to execute a given operation. Therefore, some machines can formulate decisions that previously relies on the human level of expertise. They amassed these capabilities after the installation of intentionality, intelligence, and adaptability. One of these machines is robots, which can be used to communicate and deliver automated products.
AI technologies might replace humans in the workplace since they are even utilized in vehicles and internet of things (IoT) devices. However, they can coexist with humans, void of each affecting the performance of its counterparts (Panda, 2018). Previous studies estimate that robots would have increased to 1.3 robots in 2018. They claimed their rise has an insignificant impact on the employment levels (Panda, 2018). Employees should receive skills in the design, maintenance, and programming of AI devices.
Therefore, industries cannot survive void of humans and require AI machines to improve their productivity and efficiency. They will continue to invest in robots and employ more professionals to prevent the occurrence of mistakes (De Paz, Bajo, Rodríguez, Villarrubia, & Corchado, 2016). However, the author cannot ignore the machines’ impact on unemployment. The investment into AI will eradicate manual tasks in the organizations, which require several employees (Panda, 2018). The oversight roles, programming, and maintenance require few workers.
Therefore, industries might absorb fewer employees after investing more in AI, which lowers the wage burden. The move will increase the production speed and quality of the commodities produced (Panda, 2018). Therefore, consumers, who are humans, will benefit from the advancement. They will easily communicate with their peers and business partners located in different parts of the world (Panda, 2018). The technologies need not increase employment but can ensure self-employed individuals solve their business problems.
References
De Paz, J. F., Bajo, J., Rodríguez, S., Villarrubia, G., & Corchado, J. M. (2016). Intelligent system for lighting control in smart cities. Information Sciences, 372, 241-255.
Panda, S. (2018). Impact of AI in Manufacturing Industries. International Research Journal of Engineering and Technology (IRJET, 5(11), pg. 1765- 1767
Theben, A., Gunderson, L., López-Forés, L., Misuraca, G., & Lupiáñez- Villanueva, F. (2021). Challenges and limits of an open-source approach to Artificial Intelligence. Policy Department for Economic, Scientific, and Quality of Life Policies: Directorate-General for Internal Policies, The European Parliament.
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