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Dive into the revolution with Artificial Intelligence (AI) in Patent Practice: No Patent Attorneys Were Harmed in the Making of this AI Revolution, where the traditional world of patent law collides with the dynamic power of artificial intelligence (AI). This isn't just another legal text; it's a gateway to understanding how AI is redefining what it means to protect innovation in the digital age. Discover through vivid scenarios how AI transforms a patent attorney’s week from a marathon into a sprint. From the lightning-fast completion of patent searches to the precision crafting of legal documents, witness how AI supercharges every aspect of the patent process. This book peels back the layers of complexity to show a future where AI doesn't just assist; it elevates, making superheroes out of patent attorneys. Designed for legal professionals, inventors, technologists, and anyone intrigued by the intersection of AI and intellectual property, this work goes beyond the surface. Artificial Intelligence (AI) in Patent Practice offers not just insights but a vision of the future—where efficiency meets creativity, driving innovation forward at an unprecedented pace. Prepare to be inspired, informed, and invigorated by what lies ahead for patent attorneys and the creators they defend. The future is here, and it’s powered by AI.
Dive into the revolution with Artificial Intelligence (AI) in Patent Practice: No Patent Attorneys Were Harmed in the Making of this AI Revolution, where the traditional world of patent law collides with the dynamic power of artificial intelligence (AI). This isn't just another legal text; it's a gateway to understanding how AI is redefining what it means to protect innovation in the digital age. Discover through vivid scenarios how AI transforms a patent attorney's week from a marathon into a sprint. From the lightning-fast completion of patent searches to the precision crafting of legal documents, witness how AI supercharges every aspect of the patent process. This book peels back the layers of complexity to show a future where AI doesn't just assist; it elevates, making superheroes out of patent attorneys. Designed for legal professionals, inventors, technologists, and anyone intrigued by the intersection of AI and intellectual property, this work goes beyond the surface. Artificial Intelligence (AI) in Patent Practice offers not just insights but a vision of the future-where efficiency meets creativity, driving innovation forward at an unprecedented pace. Prepare to be inspired, informed, and invigorated by what lies ahead for patent attorneys and the creators they defend. The future is here, and it's powered by AI.
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
The legal issues surrounding the online distribution of content have recently gained prominence due to the European Commission’s commitment to the Digital Single Market (DSM). This book is one of the first to provide highly topical analysis of the key legal challenges surrounding the online distribution of content, with particular focus on intellectual property rights, competition law and the regulation of new technologies.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.
Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contributors also respond to other cross-cutting issues, including digital inequality, data protection, algorithms and ethics, the regulation of AI-use cases (autonomous vehicles), and systemic shifts in e-commerce (digital trade) and industrial production (fourth industrial revolution). This title is also available as Open Access on Cambridge Core.
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.