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Artificial Intelligence in Education: Possibilities explores the transformative potential of AI in reshaping the educational landscape. The book delves into how AI-driven tools and techniques enhance teaching, learning, and administrative processes, creating personalized and adaptive learning environments. By leveraging data and algorithms, AI enables educators to address diverse learning needs, empowering students to thrive in an inclusive and technology-enhanced ecosystem.

If there's one thing a century or more of sleep science has established, it's that sleep deserves to be a priority. We hear much about the importance of exercise to our long-term well-being, and how diet and health are inextricably linked. Sleep, however, is typically an afterthought. As many as 70 million U.S. adults are being deprived of the restful sleep their bodies require for good health and optimal performance. Whether you are desperately seeking a solution to your sleep woes or are simply curious if there's more that you can do to improve your sleep and, ultimately, your health, this book has the answers. Inside you'll find information on: Healthy lifestyle habits to improve sleep. The importance of your body's internal clock and how to keep it in sync. How sleep changes with age. Effective therapies to treat insomnia. The risks and benefits of sleep medicines. Improved and emerging devices to treat sleep apnea. Unusual behaviors during sleep and what causes them. Narcolepsy, restless legs syndrome and other less common sleep disorders. With the right approach, most sleep problems can be successfully treated -- or prevented. Use the science-based methods and advice of Mayo Clinic sleep specialists to start sleeping better today. Mayo Clinic's Center for Sleep Medicine is one of the largest sleep medicine facilities in the United States, with staff caring for more than 6,000 adult and pediatric patients with sleep disorders each year. The center partners with physicians around the world to find answers for patients with some of the most complex sleep conditions.

In order to provide real-time analytics directly at the edge of the network, edge artificial intelligence (AI) is a disruptive technique that combines the capabilities of Internet of Things (IoT) devices with the power of machine learning (ML). As a result of this paradigm shift away from conventional cloud-centric approaches, latency is reduced, privacy is improved, and operational efficiency is increased. Information is processed locally on devices. The Internet of Things (IoT) is experiencing exponential expansion, which presents a problem for centralized cloud processing due to the sheer amount of data created by sensors, cameras, and linked equipment of all kinds. By putting artificial intelligence closer to the source of the data, Edge AI makes it possible to make decisions more quickly and reduces the need for continual data transmission to the cloud, which in turn reduces the expenses associated with bandwidth and cloud storage. Innovation is fostered across a variety of sectors, including healthcare, smart cities, autonomous cars, and industrial automation, via the integration of the Internet of Things (IoT) and machine learning at the edge. Real-time analytics makes it possible to identify trends and irregularities, which in turn leads to improvements in accessibility and efficiency in areas such as tailored services, increased security, and predictive maintenance. Utilizing on-device machine learning models enables quick insights, which is essential in applications that are time-sensitive. This is also true as Internet of Things devices grow more sophisticated. Furthermore, the infrastructure for edge computing is capable of supporting dispersed systems, which not only ensures increased system resilience but also reduces the likelihood of downtime. Nevertheless, putting Edge AI into practice is not without its difficulties. The management of the computational needs of machine learning models on devices with limited resources, the maintenance of scalability, and the guarantee of security across dispersed nodes are all key concerns that need to be addressed. The development of lightweight machine learning models, hardware that has been optimized, and security mechanisms that have been improved are all essential components in promoting the widespread use of this technology. Furthermore, the continuing developments in 5G networks and edge computing frameworks promise to push the frontiers of edge artificial intelligence, which will offer up new opportunities for real-time, decentralized intelligence. In conclusion, Edge AI is able to bridge the gap between the increasing needs of Internet of Things ecosystems and the requirement for real-time insights that can be put into action. With the ability to facilitate decision-making processes that are quicker, more intelligent, and more secure, it has the potential to completely transform whole sectors. Artificial intelligence at the edge of the network will play a crucial part in determining the future of intelligent systems as technology continues to advance

Both banks and insurance companies are financial intermediaries. However, their functions are different. An insurance company ensures its customers against certain risks, such as the risk of having a car accident or the risk that a house catches on fire. In return for this insurance, their customers pay them regular insurance premiums. Banks accept short-term deposits and make long-term loans. This means that there is a mismatch between their liabilities and their assets. In case a large number of their depositors want their money back, for example in a bank run scenario, they might have to come up with the money in a hurry. For an insurance company, however, its liabilities are based on certain insured events happening. Their customers can get a pay-out if the event they are insured against, such as their house burning down, does happen. They don’t have a claim on the insurance company otherwise. The purpose of this study Material is to present an introduction to the subjects of Principles & Practices of Banking and Insurance. The book contains the syllabus from basics of the subjects going into the intricacies of the subjects. All the concepts have been explained with relevant examples and diagrams to make it interesting for the readers. An attempt is made here by the author the students by way of providing Study Material as per the curriculum with non-commercial considerations. However, it is implicit that these are examoriented Study Material and students are advised to attend regular class room classes in the Institute and utilize reference books available in the library for In-depth knowledge. We owe to many websites and their free contents; we would like to specially acknowledge contents of website www.wikipedia.com and various authors whose writings formed the basis for this book. We acknowledge our thanks to them. At the end we would like to say that there is always a room for improvement in whatever we do. We would appreciate any suggestions regarding this study material from the readers so that the contents can be made more interesting and meaningful. Readers can email their queries and doubts to our authors on tmcnagpur@gmail.com. We shall be glad to help you immediately.