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This book provides a critical comprehensive summary of the coevolution of telecom markets, rules and public institutions over the last 25 years, focusing on the challenges that regulators and policy makers have been facing. Even if the perspective of the book is European (as the EU regulatory framework is examined), most of the economic and institutional issues addressed are common to all telecom markets in advanced economies. The book addresses some traditional fundamental topics in the telecom regulation literature, as well as some hot-button topics in the current policy debate, e.g., ultrafast broadband and 5G networks, the relationship between investments and competition, the sector digitalisation and the role of OTTs. All these are relevant to students, researchers, and policy makers interested to get a sound understanding of the sector, its many dimensions and coevolutionary patterns.
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Travel to Hades and Purgatory, roam the ruins like the gluttonous Romans, or watch miracles happen. The Espresso Break takes you into the mythical land that is the oldest city in the Western World -- Naples, Italy -- and beyond.
This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction. At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible. The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry.