Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine lea
Digitization is reshaping our careers, companies, and industries. Machine learning, artificial intelligence, and robotics are surpassing human capabilities across broad sectors of the economy but also
Contacted by an alien civilization that invites them to join the interstellar community, The Next struggle to get help from the industrious human race to build an artificial intelligence called The Ma
The notion of burden of proof and its companion notion of presumption are central to argumentation studies. This book argues that we can learn a lot from how the courts have developed procedures over the years for allocating and reasoning with presumptions and burdens of proof, and from how artificial intelligence has built precise formal and computational systems to represent this kind of reasoning. The book provides a model of reasoning with burden of proof and presumption, based on analyses of many clearly explained legal and non-legal examples. The model is shown to fit cases of everyday conversational argumentation as well as argumentation in legal cases. Burden of proof determines (1) under what conditions an arguer is obliged to support a claim with an argument that backs it up and (2) how strong that argument needs to be to prove the claim in question.
Using as a starting point the work of internationally-renowned Australian scholar Sam Ricketson, whose contributions to intellectual property (IP) law and practice have been extensive and richly diverse, this volume examines topical and fundamental issues from across IP law. With authors from the US, UK, Europe, Asia, Australia and New Zealand, the book is structured in four parts, which move across IP regimes, jurisdictions, disciplines and professions, addressing issues that include what exactly is protected by IP regimes; regime differences, overlaps and transplants; copyright authorship and artificial intelligence; internationalization of IP through public and private international law; IP intersections with historical and empirical research, human rights, privacy, personality and cultural identity; IP scholars and universities, and the influence of treatises and textbooks. This work should be read by anyone interested in understanding the central issues in the evolving field of IP
An informative and comprehensive overview of the state-of-the-art in natural language generation (NLG) for interactive systems, this guide serves to introduce graduate students and new researchers to the field of natural language processing and artificial intelligence, while inspiring them with ideas for future research. Detailing the techniques and challenges of NLG for interactive applications, it focuses on the research into systems that model collaborativity and uncertainty, are capable of being scaled incrementally, and can engage with the user effectively. A range of real-world case studies is also included. The book and the accompanying website feature a comprehensive bibliography, and refer the reader to corpora, data, software and other resources for pursuing research on natural language generation and interactive systems, including dialog systems, multimodal interfaces and assistive technologies. It is an ideal resource for students and researchers in computational linguistic
Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.
Offers introductory entries on 80 ideas that have shaped the study of language.This book covers ideas that range from Sense Data, Artificial Intelligence, and Logic, through Generative Semantics, Cogn
The digital economy is gradually gaining traction through a variety of recent technological developments, including the introduction of the Internet of things, artificial intelligence and markets for
In the coming decades robots and artificial intelligence will fundamentally change our world. In doing so they offer the hope of a golden future, one where the elderly are looked after by companion ro
The increasing use of artificial intelligence within the workplace is likely to cause significant disruption to the labour market and in turn, to the economy, due to a reduction in the number of taxab
How to master the art of persuasion—from the bestselling author of Talk Like TED.Ideas don’t sell themselves. As the forces of globalization, automation, and artificial intelligence combine to disrupt
Predictive Analytics has revolutionised marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current
Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.
Will the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potent
How will artificial intelligence change our world within twenty years? A WALL STREET JOURNAL, WASHINGTON POST, AND FINANCIAL TIMES BEST BOOK OF THE YEAR • “This inspired collaboration between a pioneering technologist and a visionary writer of science fiction offers bold and urgent insights.”―Yann LeCun, winner of the Turing Award; chief AI scientist, Facebook “Amazingly entertaining . . . Lee and Chen take us on an immersive trip through the future. . . . Eye-opening.”―Mark CubanAI will be the defining development of the twenty-first century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order. Meanwhile, AI will bring new risks in the form of autonomous weapons and smart
Who, if anyone, should regulate the internet? Governments around the world have answered this question robustly: they will. Digital sovereignty--the exercise of control over the internet--is the ambition of world leaders as a natural extension of traditional sovereignty and as a bulwark against the reach of foreign power. The question posed to governments now is not who should regulate the internet, but how should it be done. Data Sovereignty: From the Digital Silk Road to the Return of the State focuses on the question of territorial control over data flows and attempts by national and regional governments to place limits on the free movement of data across a global internet. Drawing on theories in political economy, international law, human rights, and data protection, this volume offers new theoretical perspectives and thought-provoking ideas about the nature and scope of digital sovereignty. It examines the extent to which new technologies, such as artificial intelligence, robotics
The Bloomsbury Handbook to the Digital Humanities reconsiders key debates, methods, possibilities, and failings from across the digital humanities, offering a timely interrogation of the present and future of the arts and humanities in the digital age. Comprising 43 essays from some of the field’s leading scholars and practitioners, this comprehensive collection examines, among its many subjects, the emergence and ongoing development of DH, postcolonial digital humanities, feminist digital humanities, race and DH, multilingual digital humanities, media studies as DH, the failings of DH, critical digital humanities, the future of text encoding, cultural analytics, natural language processing, open access and digital publishing, digital cultural heritage, archiving and editing, sustainability, DH pedagogy, labour, artificial intelligence, the cultural economy, and the role of the digital humanities in climate change. The Bloomsbury Handbook to the Digital Humanities:Surveys key contempo
For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child's emotional state, a commer
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 pape
