The Future Computed - AI and Manufacturing

The Future Computed - AI and Manufacturing
Author: Greg Shaw
Publisher:
Total Pages:
Release: 2019-05-23
Genre:
ISBN: 9780999750827

The Future Computed: AI and Manufacturing is the next book in Microsoft's The Future Computed series looking at the impact of AI on society. The book features stories from industry leaders and policymakers from around the world, sharing insights into how customers can progress their AI journey. IT also sets out suggestions about how countries can build competitive manufacturing sectors while delivering AI and addressing short-term disruption.

The Future Computed

The Future Computed
Author: Microsoft Corporation
Publisher:
Total Pages: 138
Release: 2018-01-17
Genre:
ISBN: 9781980234432

"AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation. It's already happening in impressive ways. But as we've witnessed over the past 20 years, new technology also inevitably raises complex questions and broad societal concerns." - Brad Smith and Harry Shum on The Future Computed. "As we look to a future powered by a partnership between computers and humans, it's important that we address these challenges head on. How do we ensure that AI is designed and used responsibly? How do we establish ethical principles to protect people? How should we govern its use? And how will AI impact employment and jobs?" - Brad Smith and Harry Shum on The Future Computed. As Artificial Intelligence shows up in every aspect of our lives, Microsoft's top minds provide a guide discussing how we should prepare for the future. Whether you're a government leader crafting new laws, an entrepreneur looking to incorporate AI into your business, or a parent contemplating the future of education, this book explains the trends driving the AI revolution, identifies the complex ethics and workforce issues we all need to think about and suggests a path forward.Read more:The Future Computed: Artificial Intelligence and its role in society provides Microsoft's perspective on where AI technology is going and the new societal issues it is raising - ensuring AI is designed and used responsibly, establishing ethical principles to protect people, and how AI will impact employment and jobs. The principles of fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability are critical to addressing the societal impacts of AI and building trust as AI becomes more and more a part of the products and services that people use at work and at home every day. A central theme in The Future Computed is that for AI to deliver on its potential drive widespread economic and social progress, the technology needs to be human-centered - combining the capabilities of computers with human capabilities to enable people to achieve more. But a human-centered approach can only be realized if researchers, policymakers, and leaders from government, business and civil society come together to develop a shared ethical framework for AI. This in turn will help foster responsible development of AI systems that will engender trust. Because in an increasingly AI-driven world the question is not what computers can do, it is what computers should do. The Future Computed also draws a few conclusions as we chart our path forward. First, the companies and countries that will fare best in the AI era will be those that embrace these changes rapidly and effectively. Second, while AI will help solve big societal problems, we must look to this future with a critical eye as there will be challenges as well as opportunities. Third, we need to act with a sense of shared responsibility because AI won't be created by the tech sector alone. Finally, skilling-up for an AI-powered world involves more than science, technology, engineering and math. As computers behave more like humans, the social sciences and humanities will become grow in importance.

The AI-First Company

The AI-First Company
Author: Ash Fontana
Publisher: Penguin
Total Pages: 304
Release: 2021-05-04
Genre: Business & Economics
ISBN: 0593330323

Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.

Advances in Mathematics for Industry 4.0

Advances in Mathematics for Industry 4.0
Author: Mangey Ram
Publisher: Academic Press
Total Pages: 420
Release: 2020-10-02
Genre: Mathematics
ISBN: 012818907X

Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. Focuses on recent research in mathematics applications for Industry 4.0 Provides insights on international and transnational scales Identifies mathematics knowledge gaps for Industry 4.0 Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research

AI in Manufacturing: The Future Information Revolution

AI in Manufacturing: The Future Information Revolution
Author: Dizzy Davidson
Publisher: Pure Water Books
Total Pages: 119
Release: 2024-07-29
Genre: Technology & Engineering
ISBN:

Struggling to fully understand the impact of AI on manufacturing? Wondering how AI can revolutionize predictive maintenance, quality control, and supply chain optimization? Look no further! “AI in Manufacturing: The Future Information Revolution” is your definitive guide to navigating the complexities of AI in the manufacturing sector. This book provides clear, actionable insights into how AI is transforming the industry, making it more efficient, innovative, and competitive. Benefits of Reading This Book: Unlock the Power of Predictive Maintenance: Learn how AI can predict equipment failures before they happen, reducing downtime and maintenance costs. Enhance Quality Control: Discover how machine vision and AI algorithms can inspect products for defects, ensuring high-quality standards and reducing waste. Optimize Your Supply Chain: Understand how AI can improve demand forecasting, inventory management, and logistics, making your supply chain more efficient and responsive. Why This Book is Essential: Comprehensive Coverage: From generative design to intelligent automation, this book covers all critical AI applications in manufacturing. Real-World Examples: Packed with case studies and success stories, you’ll see how leading companies are leveraging AI to stay ahead. Practical Insights: Get actionable advice on implementing AI solutions in your own manufacturing processes. Bullet Points: Predictive Maintenance: Reduce downtime and costs. Quality Control: Ensure high standards and reduce waste. Supply Chain Optimization: Improve efficiency and responsiveness. Generative Design: Innovate with AI-driven designs. Process Automation: Increase productivity with robotics and AI. AI Training: Enhance worker skills and productivity. Intelligent Automation: Achieve precision and efficiency. Data-Driven Decisions: Make informed choices with AI insights. Call to Action: Don’t miss out on the opportunity to revolutionize your manufacturing operations. Get your copy of “AI in Manufacturing: The Future Information Revolution” today and become knowledgeable about the transformative power of AI. Embrace the future of manufacturing and reap the benefits of cutting-edge AI technologies.

Nine Algorithms That Changed the Future

Nine Algorithms That Changed the Future
Author: John MacCormick
Publisher: Princeton University Press
Total Pages: 232
Release: 2020-09-15
Genre: Computers
ISBN: 0691209057

Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.

Artificial Intelligent Techniques for Wireless Communication and Networking

Artificial Intelligent Techniques for Wireless Communication and Networking
Author: R. Kanthavel
Publisher: John Wiley & Sons
Total Pages: 388
Release: 2022-02-24
Genre: Computers
ISBN: 1119821789

ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.

Machine Learning and Artificial Intelligence with Industrial Applications

Machine Learning and Artificial Intelligence with Industrial Applications
Author: Diego Carou
Publisher: Springer Nature
Total Pages: 216
Release: 2022-03-11
Genre: Technology & Engineering
ISBN: 3030910067

This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.

Fundamentals of Digital Manufacturing Science

Fundamentals of Digital Manufacturing Science
Author: Zude Zhou
Publisher: Springer Science & Business Media
Total Pages: 373
Release: 2011-10-22
Genre: Technology & Engineering
ISBN: 0857295640

The manufacturing industry will reap significant benefits from encouraging the development of digital manufacturing science and technology. Digital Manufacturing Science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital Manufacturing Science to solve practical engineering problems in modern manufacturing processes. Digital Manufacturing Science is aimed at advanced undergraduate and postgraduate students, academic researchers and researchers in the manufacturing industry. It allows readers to integrate the theories and technologies described with their own research works, and to propose new ideas and new methods to improve the theory and application of digital manufacturing science.