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AI for Watch Industry

AI for Watch Industry
Author: Rakesh Kumar
Publisher: Independently Published
Total Pages: 0
Release: 2024-04-02
Genre:
ISBN:
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In recent years, the watch industry has witnessed a remarkable transformation fueled by advancements in artificial intelligence (AI) technologies. As one of the oldest and most traditional sectors, the watch industry has embraced AI as a catalyst for innovation, efficiency, and enhanced customer experiences. From design and manufacturing to marketing and sales, AI is revolutionizing every aspect of the watch industry, reshaping the way watches are created, marketed, and consumed. The integration of AI into the watch industry represents a paradigm shift, enabling watchmakers to leverage data-driven insights, predictive analytics, and automation to optimize operations and deliver unparalleled value to consumers. AI-powered solutions are empowering watch manufacturers to enhance product customization, streamline production processes, and anticipate market trends with unprecedented accuracy. Moreover, AI is driving a new era of personalization and customer engagement in the watch industry, as brands harness the power of machine learning algorithms to tailor products and services to individual preferences and behaviors. From personalized watch recommendations to immersive virtual try-on experiences, AI is enabling watch companies to forge deeper connections with consumers and cultivate brand loyalty in an increasingly competitive market landscape. In this era of digital transformation, the watch industry stands at the forefront of AI innovation, embracing cutting-edge technologies to redefine craftsmanship, elevate design aesthetics, and deliver unparalleled value to consumers worldwide. This book explores the transformative impact of AI on the watch industry, offering insights into emerging trends, best practices, and real-world applications that are shaping the future of watchmaking in the 21st century.

Practical Natural Language Processing

Practical Natural Language Processing
Author: Sowmya Vajjala
Publisher: O'Reilly Media
Total Pages: 455
Release: 2020-06-17
Genre: Computers
ISBN: 149205402X
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Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

The Alignment Problem: Machine Learning and Human Values

The Alignment Problem: Machine Learning and Human Values
Author: Brian Christian
Publisher: W. W. Norton & Company
Total Pages: 459
Release: 2020-10-06
Genre: Science
ISBN: 039363583X
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A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

The Age of A.I.

The Age of A.I.
Author: Henry A Kissinger
Publisher: Little, Brown
Total Pages: 0
Release: 2021-09-14
Genre: Political Science
ISBN: 0316330213
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Artificial Intelligence (AI) is transforming human society fundamentally and profoundly. Not since the Enlightenment and the Age of Reason have we changed how we approach knowledge, politics, economics, even warfare. Three of our most accomplished and deep thinkers come together to explore what it means for us all. An A.I. that learned to play chess discovered moves that no human champion would have conceived of. Driverless cars edge forward at red lights, just like impatient humans, and so far, nobody can explain why it happens. Artificial intelligence is being put to use in sports, medicine, education, and even (frighteningly) how we wage war. In this book, three of our most accomplished and deep thinkers come together to explore how A.I. could affect our relationship with knowledge, impact our worldviews, and change society and politics as profoundly as the ideas of the Enlightenment.

Regulating Artificial Intelligence in Industry

Regulating Artificial Intelligence in Industry
Author: Damian M. Bielicki
Publisher: Routledge
Total Pages: 256
Release: 2021-12-24
Genre: Law
ISBN: 1000509796
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Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions. Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.

The Artist in the Machine

The Artist in the Machine
Author: Arthur I. Miller
Publisher: MIT Press
Total Pages: 429
Release: 2019-10-01
Genre: Computers
ISBN: 0262042851
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An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.

The Creativity Code

The Creativity Code
Author: Marcus Du Sautoy
Publisher: Harvard University Press
Total Pages: 321
Release: 2020-03-03
Genre: Computers
ISBN: 0674244710
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“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times

AI 2041

AI 2041
Author: Kai-Fu Lee
Publisher: Crown Currency
Total Pages: 497
Release: 2024-03-05
Genre: Social Science
ISBN: 0593238311
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How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

AI Watch, Defining Artificial Intelligence 2.0

AI Watch, Defining Artificial Intelligence 2.0
Author:
Publisher:
Total Pages:
Release: 2021
Genre:
ISBN: 9789276426486
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We present here the second edition of our research aimed at establishing an operational definition of artificial intelligence (AI), to which we refer to in the activities of AI Watch. This edition builds on the first report, published in February 2020, and complements it with several recent developments. Since then, the European Commission has proposed a regulatory framework on artificial intelligence (AI Act) that establishes a legal definition of AI, which we incorporate in the current review. In addition to this legal definition, an operational definition is still needed to better delineate the boundaries and analysis of the AI Watch AI landscape. The proposed AI Watch operational definition consists of an iterative method providing a concise taxonomy and list of keywords that characterise the core domains of the AI research field, complemented by transversal topics such as AI applications or ethical and philosophical considerations - in line with the wider monitoring objective of AI Watch. The AI taxonomy is designed to inform the AI Watch AI landscape analysis and is also expected to cover applications of AI in closely related technological domains, such as robotics (in a broader sense), neuroscience or internet of things. The literature considered for the qualitative analysis of existing definitions and taxonomies has been enlarged to include recently published reports from the three complementary perspectives considered in this work: policy, research and industry. Therefore, the collection of definitions published between 1955 and 2021 and the summary of the main features of the concept of AI appearing in the relevant literature is another valuable output of this work. Finally, alternative approaches to study AI are also briefly presented in this new edition of the report. These include the classification of AI according to: families of algorithms and the theoretical models behind them; cognitive abilities reproduced by AI; functions performed by AI. Applications of AI may be grouped also according to other dimensions, like the economic sector in which such applications are found, or their business functions. These approaches, complementary to the taxonomy used for the analysis of the AI Watch international landscape, are useful to gain a wider understanding of the AI domain, and suitable to be used in studies related to these dimensions.

Artificial Intelligence for Industries of the Future

Artificial Intelligence for Industries of the Future
Author: Mayank Kejriwal
Publisher: Springer Nature
Total Pages: 165
Release: 2022-11-25
Genre: Business & Economics
ISBN: 3031190394
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This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI’s forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path. Examines the likely role of AI in industries of the future, both known and unknown Presents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-ups Explores the regulation of AI and its potential impacts on the workforce