Recent Trends in Artificial Intelligence Towards a Smart World - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Trends in Artificial Intelligence Towards a Smart World write by Rajeev Arya. This book was released on 2024-10-29. Recent Trends in Artificial Intelligence Towards a Smart World available in PDF, EPUB and Kindle. This book compiles artificial intelligence (AI) applications in new communication technologies such as the cognitive radio networks, internet of things (IoT), internet of drones (IoD), internet of vehicles (IoV), and autonomous underwater vehicles (AUV), which are expected to increase the amount of data traffic. Recognizing that AI is revolutionizing industries with its applications and helping us solve complex problems with ease, the book tackles a variety of industries and sectors such as agriculture, logistics, infrastructure, manufacturing, education, disaster management, transport, surveillance, and more. Contributions included in the book are useful for students, engineers (disciplines like telecommunication, mechanical and computer science, etc.), teachers, people studying and working for strategic, tactical and operational management. It is also useful for data scientists and anyone else who wants to have an insight into the impact of artificial intelligence on various industries. Due to its focus on healthcare and agriculture, the horizon of the book is enhanced to include healthcare industry personnels and agriculture sector. Additionally, it provides guidance for government personnel who are working towards system upgradation for managing dynamic traffic demands.
Recent Trends in Artificial Intelligence Towards a Smart World
Recent Trends in Artificial Intelligence Towards a Smart World - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Trends in Artificial Intelligence Towards a Smart World write by Rajeev Arya. This book was released on . Recent Trends in Artificial Intelligence Towards a Smart World available in PDF, EPUB and Kindle.
Artificial Intelligence
Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence write by Marco Antonio Aceves-Fernandez. This book was released on 2018-06-27. Artificial Intelligence available in PDF, EPUB and Kindle. Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.
Recent Trends and Advances in Artificial Intelligence and Internet of Things
Recent Trends and Advances in Artificial Intelligence and Internet of Things - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Trends and Advances in Artificial Intelligence and Internet of Things write by Valentina E. Balas. This book was released on 2019-11-19. Recent Trends and Advances in Artificial Intelligence and Internet of Things available in PDF, EPUB and Kindle. This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
Deploying Machine Learning
Deploying Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deploying Machine Learning write by Robbie Allen. This book was released on 2019-05. Deploying Machine Learning available in PDF, EPUB and Kindle. Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
