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Author: Kevin Roose
Publisher: Hachette UK
ISBN: 152930475X
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.
Author: Kevin Roose
Publisher: Hachette UK
ISBN: 152930475X
Category : Technology & Engineering
Languages : en
Pages : 256
Get Book Here
Book Description
A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.
Author: Stephen Loosley
Publisher:
ISBN: 9780522867404
Category : Australia
Languages : en
Pages : 224
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Book Description
Author: Thompson, Steven John
Publisher: IGI Global
ISBN: 1799848957
Category : Computers
Languages : en
Pages : 266
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Book Description
Machines and computers are becoming increasingly sophisticated and self-sustaining. As we integrate such technologies into our daily lives, questions concerning moral integrity and best practices arise. A changing world requires renegotiating our current set of standards. Without best practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and Morality in the Age of Artificial Intelligence is a collection of innovative research that presents holistic and transdisciplinary approaches to the field of machine ethics and morality and offers up-to-date and state-of-the-art perspectives on the advancement of definitions, terms, policies, philosophies, and relevant determinants related to human-machine ethics. The book encompasses theory and practice sections for each topical component of important areas of human-machine ethics both in existence today and prospective for the future. While highlighting a broad range of topics including facial recognition, health and medicine, and privacy and security, this book is ideally designed for ethicists, philosophers, scientists, lawyers, politicians, government lawmakers, researchers, academicians, and students. It is of special interest to decision- and policy-makers concerned with the identification and adoption of human-machine ethics initiatives, leading to needed policy adoption and reform for human-machine entities, their technologies, and their societal and legal obligations.
Author:
Publisher: Universal Law Publishing
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
Author: Fred Herbert Colvin
Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 1114
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Book Description
Author: Jobst Landgrebe
Publisher: Taylor & Francis
ISBN: 1000628671
Category : Philosophy
Languages : en
Pages : 355
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Book Description
The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 174
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Book Description
What Is Rule Based System A rule-based system is used to store and modify knowledge in order to understand information in a manner that is helpful in the field of computer science. Applications and research in the field of artificial intelligence frequently make use of it. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Rule-Based System Chapter 2: Expert System Chapter 3: Inference Engine Chapter 4: Production System in Computer Science Chapter 5: Fuzzy Logic Chapter 6: Artificial Neural Network Chapter 7: Genetic Algorithm Chapter 8: Rule-Based Machine Learning Chapter 9: Logic Programming Chapter 10: Lexical Analysis (II) Answering the public top questions about rule based system. (III) Real world examples for the usage of rule based system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of rule based system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of rule based system.
Author:
Publisher:
ISBN:
Category : Administrative law
Languages : en
Pages : 328
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Book Description
Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.
Author: United States. War Department
Publisher:
ISBN:
Category :
Languages : en
Pages : 1308
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Book Description
Author: Gilad James, PhD
Publisher: Gilad James Mystery School
ISBN: 7819501847
Category : Computers
Languages : en
Pages : 90
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Book Description
Google Translate is a multilingual translation service provided by Google. It allows users to translate words, phrases, and entire documents between multiple languages. The service was launched in April 2006 and has since been constantly updated to provide more accurate translations. Initially offering translations in only two languages, Google Translate now supports over 100 languages. The translation process works by analyzing the text or document input by the user, breaking it up into smaller segments, and then using statistical algorithms to match these segments with translations from its database. Google Translate has been a helpful tool for people to communicate across different languages, whether it be for business or personal use. However, it must be noted that automated translations often carry a high risk of inaccuracies due to the complexities inherent in language and the nuances of different cultures and contexts. It is always recommended to use translations as a starting point, and then have a native speaker review and refine the language to ensure accuracy.
