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Artificial Intelligence Foundation Foundation Certification Artificial Intelligence exam dumps questions are the best material for you to test all the related BCS exam topics. By using the Artificial Intelligence Foundation exam dumps questions and practicing your skills, you can increase your confidence and chances of passing the Artificial Intelligence Foundation exam. Features of Dumpsinfo’s products Instant Download Free Update in 3 Months Money back guarantee PDF and Software 24/7 Customer Support Besides, Dumpsinfo also provides unlimited access. You can get all Dumpsinfo files at lowest price. Foundation Certification Artificial Intelligence Artificial Intelligence Foundation exam free dumps questions are available below for you to study. Full version: Artificial Intelligence Foundation Exam Dumps Questions 1.What does TRL stand for? A. Technical Robotic Level. B. Transform Reinforced Learning C. Technology Readiness Level. D. Transport Ready Level. Answer: C Explanation: Technology Readiness Level (TRL) Technology Readiness Levels (TRL) are a method of estimating the technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process. https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology Development- ,Technology Readiness Level (TRL),program during the acquisition 1 / 4 https://www.dumpsinfo.com/unlimited-access/ https://www.dumpsinfo.com/exam/artificial-intelligence-foundation process. TRL stands for Technology Readiness Level and is a measure of how close a technology is to being ready for use in a real-world environment. TRL is used to assess the progress of research and development of a technology, ranging from basic research (TRL 1) to fully operational (TRL 9). TRL is used to help determine the level of completion of a technology and its potential success in a real-world environment. References: [1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international.com/en/qualifications-and-certifications/bc-foundation-certificate-in- artificial-intelligence/ [3] https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial-intelligence/ [4] https://www.acq.osd.mil/rd/nii/trl.html 2.Healthcare can benefit from Al, and in particular Machine Learning, an example of which is? A. Autonomous wheelchairs. B. Automated blood sampling. C. Autonomous vehicles. D. Diagnostic image analysis Answer: D Explanation: Healthcare can benefit from AI, and in particular Machine Learning, in a number of ways. One example is diagnostic image analysis, which can help to automatically identify and classify abnormalities in medical images such as X-rays, CT scans, and MRI scans. Machine Learning algorithms can be used to detect patterns in the data which can be used to accurately diagnose diseases and illnesses. References: [1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international.com/en/qualifications-and-certifications/bc-foundation-certificate-in- artificial-intelligence/ [3] https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial- intelligence/ [4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859976/ 3. Professor David Chalmers described consciousness as having two questions. What were these? A. An easy one and a hard one. B. What is the sub conscious and what is the conscious? C. Can we integrate our knowledge to form consciousness and can we simulate consciousness? D. Are only humans conscious and are machines always unconscious? Answer: B Explanation: Professor David Chalmers described consciousness as having two questions: "What is it like to be conscious?" and "Can machines be conscious?". The first question, "What is it like to be conscious?", is an attempt to understand what it is like to experience the subjective aspects of consciousness, such as feeling, emotion, and perception. The second question, "Can machines be conscious?", is an attempt to understand whether or not machines can have the same kinds of subjective experiences as humans. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above. 2 / 4 https://www.dumpsinfo.com/ 4.Which of the following is an example of fitting a curve to a set of data? A. Python. B. Least squares regression. C. Bayesian network. D. Backward propagation. Answer: B Explanation: Least Squares Regression is a statistical technique used for fitting a curve to a set of data. It involves minimizing the sum of the squares of the differences between the observed data and the fitted curve. This is done by finding the line of best fit, which is the line that minimizes the sum of the squared residuals. The line of best fit is determined by finding the parameters that give the minimum sum of the squared residuals. This technique is often used in data science and machine learning to create models that can be used to make predictions. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/ 5.What term do computer scientists and economists use to describe how happy an agent is? A. Index. B. Warm. C. Return D. Utility. Answer: D Explanation: https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds Computer scientists and economists use the term "utility" to describe how happy an agent is. Utility is a measure of satisfaction or preference, and it is used to evaluate an agent's satisfaction with a particular outcome. Utility can be used to determine the optimal decision or action for an agent to take in order to maximize its satisfaction. References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Decision Making and Planning", p.99-100. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence" 6.From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean? A. Robots will have freewill. B. Al agents will behave as humans. C. Al systems will be human-centric D. Al systems will preserve human agency. Answer: D Explanation: The Principle of Autonomy from the ELL's ethics guidelines for Al states that Al systems should be designed in a way that preserves human agency and responsibility. This means that Al systems should be designed in a way that allows humans to remain in control of their decisions, and that the Al system should not be able to act without human input or permission. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/ai/certificate/ and APMG International, https://www.apmg- international.com/qualifications/artificial-intelligence-foundation-certificate. 3 / 4 https://www.dumpsinfo.com/ 4 / 4 https://www.dumpsinfo.com/