Artificial Intelligence To Create Autonomous Cars

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Scenario. Using Big Data And Artificial Intelligence To Create Autonomous Cars     (11 marks)BMW clearly believes the cars of tomorrow will drive themselves, instead of relying on humans being at the wheel. It’s not alone in this belief – all the major car producers are investing in driverless technology, but BMW is more confident than most. The company has said it plans for its cars to deliver full “level 5” autonomy by 2021.Getting to fully level 5 autonomous cars relies on computer vision technology, which means teaching computers and machines to “see” like us humans do, but using cameras instead of eyes, and to interpret what they are seeing in a way that’s similar to the human brain. It’s essentially a very advanced type of image recognition technology – the tech that powers a simple Google image search – where machines are taught to sift through and categorise images, becoming better at it over time as they process more and more images. Only, in this case, instead of sorting through millions of Internet images of cats and dogs, computer vision in an autonomous vehicle means ingesting all of the input data from the car’s sensors and cameras, and analysing that data on the fly in real time –quickly enough, say, to perform an emergency stop if needed.Questions:1.    Self-driving cars are a very popular concept now. To guarantee the self-driving cars can react quickly enough to emergencies, the AI system deployed on the car is required to make decisions at real time. What technology mentioned in our course is a must for the AI system of self-driving cars? Please justify your answer. (3 marks)2.    In regard to the technology you proposed in your answer to question 1, explain how it collaborates with the AI system and the sensing system of the self-driving car to navigate the car to run. (3 marks)3.    Before the AI system makes a decision of stopping the car, it needs to classify the current scenario using a classification algorithm. Suppose we use the following table as a training data set for the classification algorithm, please create the corresponding decision tree. You can either draw it using drawing software (Viso, Powerpoint, MS Paint, etc.) or on paper and take a picture of it, and upload the file or your picture using the submission link. (5 marks)
Questions:1. RTCC can do descriptive, predicative and prescriptive analysis. Given an example of each type of analysis in the context of the scenario. (3 marks)2. RTCC relies on the data access to internal and external sources, e.g., crime record unit for crime history information and vehicle registration administration for car license information. Data from such sources often consists of both structured data and unstructured data (like photos, videos, reports in PDF format, etc.), and may be hosted in different data systems, e.g., Hadoop, ERP systems, file systems. In addition, some external confidential data are not allowed to be replicated. Explain how we should integrate such data and conduct data analytics at RTCC and seek best analytics performance when decide the supporting data analytical platform. Please justify your answer.   (4 marks)3. RTCC often needs to analyse a lot of live videos generated by a large network of surveillance cameras. Such continuous video streams are of large volume, and require super large computing power to analyse them at real time. What technologies related to data analytics and introduced in our course would you recommend to a RTCC to use to handle the (near) real time analysis of live video streams? Please justify your answer. (4 marks) Your answers must be specific to the scenario.Word limit for all your three answers: 40
Case Study. AI and IoT Power Self-Serve Health Clinics   (18 marks)https://www.insight.tech/health/ai-and-iot-power-self-serve-health-clinicsAdvances in China’s standard of living provide more people with access to healthcare. Nonetheless, with life expectancies now averaging 76.5 years, medical costs are on the rise.And while the number of top-tier hospitals throughout the country has more than doubled, the annual number of outpatient visits increased almost fourfold during that same period. Improving patient outcomes now relies on the use of new technologies such as real-time analytics, facial recognition, and the IoT.Innovation enables more people to get better access to healthcare information and advice without going to a hospital or waiting to see a doctor. It can also reduce the strain on overburdened medical personnel and resources by automating collection, transmission, and storage of healthcare data used in patient records.Self-Service Health AssessmentsThe Intelligent Health Management Solution from Shenzhen Dingsheng Intelligent Technology is helping to fulfil this mission (Figure 1).Figure 1. The Intelligent Health Management Solution streamlines access to health advice.Jessica Hsu, Sales Director at Shenzhen Dingsheng Intelligent Technology, explained how the solution provides comprehensive self-service health exams.“The system includes approximately 50 physical examination indicators that measure vital signs and monitor for key chronic diseases,” said Hsu. “By setting it up in everyday locations like drugstores, community centres, and shopping malls, we make it easy for people to get comprehensive checkups.”To illustrate how it works, imagine that a 68-year-old man we’ll call John comes across the Health Management Solution at a shopping mall. Overdue for a checkup, and not wanting to wait in his doctor’s office, he decides to try it out.First, John scans a QR code on his smartphone to log in. The intuitive interface helps him enter background information and guides him through checking his blood pressure, heart rate, and body composition. He uses the system’s built-in modules to do these tests without any assistance.The software compares John’s results with standard reference points and provides him with a report containing healthcare suggestions. While the report is uploaded to John’s account, he also prints a copy.Because John has questions, he video-chats directly with a remote medical professional who also has his report. The two have a conversation and John receives advice on what he can do to enhance his well-being. He also finds where he can get help with quitting smoking.AI Simplifies CheckupsTo speed up the process, facial recognition and artificial intelligence (AI) determine a person’s approximate age, gender, and ethnicity. The technology automatically recognizes people who have an existing profile.And when not in use, the system can play video advertising on its high-definition display with customized content, which through facial recognition matches the demographics of people nearby. Ad revenue defrays the overall investment costs, enabling businesses to let their customers use it for free or at a nominal cost.The company’s most comprehensive model includes a wide range of sensors and medical devices. Powered by an embedded PC, interactions with the system are done through a touchscreen, high-definition display, HD camera and speaker, and more (Figure 2). 
Figure 2. The solution comes equipped to conduct a wide range of self-assessment tests.Storing and Securing DataPatient information is stored locally during use, and then uploaded to the cloud where it’s analysed to quickly generate a health report. Centralized storage also enables people to access their historical data anytime on their mobile phone or a PC. This helps prevent people from losing medical files, which traditionally are kept only as a hard copy by the patient.“Intel®️ processors and the Intel®️ vPro™️ platform enable us to provide a wide range of capabilities,” said Hsu. With vPro, data is encrypted without losing performance. And Intel®️ Identity Protection technology provides role-based security that prevents unauthorized users from accessing the system. It also enhances remote management, essential to deploying hundreds of solutions in different locations.Beyond individual health assessments, systems such as the Intelligent Health Management Solution can provide population-wide data analytics for government use. This helps officials implement regionally targeted programs designed to improve citizen health across the country. Such actions can help China reduce diseases that otherwise will affect more people each year.“Many of our solutions are purchased by drugstores, nursing homes, malls, and health centres, and are available to be used for free,” said Hsu. “They do this to benefit their customers, residents, and society in general. And it shows goodwill.”Questions:1.    Easy-to-access self-serve health check is certainly very convenient to the general public. Please discuss the technologies that drove this to happen. (46 marks)2.    In the Intelligent Health Management Solution architecture, cloud is used to store the collected data and analyse the data instead of local sites/systems. Please explain what merits this cloud-centred design has. (4 marks)3.    The Intelligent Health Management Solution is claim to be able to provide population-wide data analytics and thereby improve citizen health. With such collected data, descriptive, predicative and prescriptive analytics can be conducted to achieve this goal. Give one example of the knowledge that could be obtained from each type of the aforementioned analytics within the given context. Also explain what input data are needed for such analytics.  (4 marks)4.    The measuring systems deployed at everyday locations act as heavy-weight edge systems in an Internet of Things (IoT) network. Discuss the integration between such complex edge systems and the cloud based health data management systems in terms of data transfer, data processing, user access control, etc., in the context of the given case study. (6 marks)
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