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The Economics of Artificial Intelligence
"Amid sweeping conversations about the future of artificial intelligence and its impact on US industry and economy, one economic domain has remained relatively insulated from the discussion: health care. How is it possible that an industry so bemoaned for inefficiency and expense, an industry so large that it now makes up a quarter of the US economy, could escape the efficiency- and cost-driven disruptions of AI? How are doctor's offices still relying on fax machines in the age of driverless cars? Why is it the one industry where we'd like to see AI try some things the one that machines can't seem to infiltrate? The Economics of Artificial Intelligence: Health Care Challenges convenes contributions from health economists, physicians, philosophers, and legal scholars to identify the primary barriers to entry for AI in America's biggest industry. Across original papers and wide-ranging written responses, they find five domains of barriers: incentives; management; data availability; regulation. They also find evidence of real opportunity: AI has promise to improve outcomes and lower costs, and if paths to intervention are seized upon, improvements will follow"--
Smart Cities
This book aims to provide a comprehensive overview of the various services that are available to help cities develop their smart communities. It includes a variety of topics such as artificial intelligence, blockchain, advanced computing, and the Internet of Everything. Smart Cities: Blockchain, AI, and Advanced Computing is structured with independent chapters, each highlighting the current and future state-of-the-art technologies addressing smart city challenges. The book covers a variety of application areas, including healthcare, transportation, smart grids, supply chain management, and financial systems. There are both theoretical and empirical investigations in this book; they cover a ...
Heterogenous Computational Intelligence in Internet of Things
We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualiza...
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