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Author: Satvik Vats
Publisher: Bentham Science Publishers
ISBN: 9815305379
Category : Computers
Languages : en
Pages : 303
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Book Description
This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications. Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers. This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.
Author: Satvik Vats
Publisher: Bentham Science Publishers
ISBN: 9815305379
Category : Computers
Languages : en
Pages : 303
Get Book Here
Book Description
This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications. Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers. This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.
Author: Scott G. Isaksen
Publisher: SAGE
ISBN: 1412977738
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
Creative Approaches to Problem Solving (CAPS) is a comprehensive text covering the well-known, cited, and used system for problem solving and creativity known as Creative Problem Solving (CPS). CPS is a flexible system used to help individuals and groups solve problems, manage change, and deliver innovation. It provides a framework, language, guidelines, and set of easy-to-use tools for understanding challenges, generating ideas and transforming promising ideas into action. Features and Benefits: - Specific objectives in each chapter for the reader - This provides a clear focus for instruction or independent learning - Practical case study introduced in the beginning of each chapter and then completed as a "rest of the story" toward the end of the chapter - This feature provides an application anchor for the reader - Upgraded mix of graphics - These updated and refreshed graphics include tables, figures, and illustrative images that are designed to provide "pictures" to go along with the word. The aim has been to aid attention, retention, and practical application - Enhanced emphasis on flexible, dynamic process-- Enables users to select and apply CPS tools, components, and stages in a meaningful way that meets their actual needs - A framework for problem solving that has been tested and applied across ages, settings, and cultures-- Readers can apply a common approach to process across many traditional "boundaries" that have limited effectives. Creative Approaches to Problem Solving has been (and continues to be) used as a core text for faculty who are teaching courses in Creative Problem Solving or Creativity and Innovation as part of an MBA program, or in Education, a course on Creativity (often as a component of certification or endorsement requirements in gifted education). It is also used as a core text for those enrolled in professional development, continuing education, or executive education programmes.
Author: George F. Luger
Publisher: Pearson Higher Ed
ISBN: 0133001733
Category : Computers
Languages : en
Pages : 779
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Book Description
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.
Author: George F. Luger
Publisher: Springer Nature
ISBN: 3031574370
Category :
Languages : en
Pages : 639
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Book Description
Author: Dr Gwilym Wyn Roberts
Publisher: M&K Update Ltd
ISBN: 1907830936
Category : Medical
Languages : en
Pages : 149
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Book Description
Written by a leading healthcare academic and an accredited international business coach, this book takes a new approach to one of the most crucial issues in healthcare – how to care for patients appreciatively, responsively and compassionately. In the light of the findings of the Francis Report (2013), and at a time when healthcare services are under enormous pressure, there is a clear and urgent need for such a book. Despite the challenges of ill health, the authors demonstrate that the opportunity is there for any healthcare practitioner to draw out what the patient needs and desires, in line with the patient’s own values, purposes and beliefs. This approach seeks to alleviate suffering and allows the patient to be more empowered and motivated to change, discovering choice and possibility in times of adversity. In this way, the practitioner can help the patient increase their own resilience and resourcefulness. At the same time, the practitioner discovers their own ability to self-care and self-manage. Aimed at healthcare students and practitioners at all levels, Appreciative Healthcare Practice will provide a valuable and supportive learning resource for a wide range of individuals involved in caring. Contents include: Introduction Carers’ stories Compassionate and dignified care Professionalism – on becoming a professional Applying appreciative inquiry in practice and education Creativity and care Applying the three-eye model to healthcare Mindful healthcare practice The appreciative care worker and coach
Author: R. Warren Flint
Publisher: Springer Science & Business Media
ISBN: 1461450993
Category : Technology & Engineering
Languages : en
Pages : 477
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Book Description
Ordinary people, community leaders, and even organizations and corporations still do not fully comprehend the interconnected, “big picture” dynamics of sustainability theory and action. In exploring means to become more sustainable, individuals and groups need a reference in which to frame discussions so they will be relevant, educational, and successful when implemented. This book puts ideas on sustainable communities into a conceptual framework that will promote striking, transformational effects on decision-making. In this book practitioners and community leaders will find effective, comprehensive tools and resources at their finger-tips to facilitate sustainable community development (SCD). The book content examines a diverse range of SCD methods; assessing community needs and resources; creating community visions; promoting stakeholder interest and participation; analyzing community problems; designing and facilitating strategic planning; carrying out interventions to improve
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
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
Author: Donald E. Brown
Publisher: Springer Science & Business Media
ISBN: 9400922035
Category : Business & Economics
Languages : en
Pages : 503
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Book Description
The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.
Author: Dr. Roberto Rosas
Publisher: Outskirts Press
ISBN: 197727496X
Category : Law
Languages : en
Pages : 163
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Book Description
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.
Author: George F. Luger
Publisher: Springer Nature
ISBN: 3030718735
Category : Computers
Languages : en
Pages : 267
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Book Description
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind’s history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations. This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building. The book’s second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use. The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI. The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.
