The Science Of Ai Designing The Next Generation Of Intelligent Systems

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The Science Of Ai Designing The Next Generation Of Intelligent Systems

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Author : Radhakrishnan Arikrishna Perumal
language : en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date : 2025-01-01

The Science Of Ai Designing The Next Generation Of Intelligent Systems written by Radhakrishnan Arikrishna Perumal and has been published by Radhakrishnan Arikrishna Perumal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Computers categories.

Welcome to the next frontier of artificial intelligence — a world where machines don’t just think, they imagine, generate, and collaborate. Designing the Next Generation of Intelligent Systems is a definitive guide to understanding how generative AI is reshaping industries, unlocking human potential, and paving the way for intelligent systems that learn, create, and evolve. Written by Radhakrishnan Arikrishna Perumal, a Principal Software Architect, AI researcher, and acclaimed technology author, this book explores the science and real-world applications of generative AI — from foundational neural networks to the complex behaviors of Large Language Models (LLMs) like GPT-4, Claude, and Google Gemini. Whether you're a developer, data scientist, researcher, product manager, educator, or policy-maker, this book equips you with the knowledge, frameworks, and vision to navigate the transformative wave of generative AI. It bridges theory with practice, covering the mathematical foundations, model architectures, training pipelines, deployment workflows, ethical challenges, and enterprise use cases. What You’ll Learn: • The evolution of deep learning and the rise of generative models • Core concepts behind VAEs, GANs, Transformers, Diffusion Models, and LLMs • Inside look at frontier AI systems like GPT-4, Claude, and Gemini • How to build and fine-tune custom LLMs with open-source tools • Practical strategies for training, deploying, and scaling generative AI models using cloud and edge computing • Pipelines, LLMOps, and tools like Hugging Face, LangChain, and Azure AI Studio • Techniques for data augmentation, model optimization, and prompt engineering • Critical insights into security, interpretability, bias, and AI alignment • Use cases in healthcare, law, education, finance, and enterprise automation • The future of multimodal AI, ethical design, and human-AI collaboration Why This Book? Unlike generic AI introductions or academic research texts, this book offers both breadth and depth — structured to support readers who want a full-spectrum understanding of generative AI, from foundational knowledge to frontier innovation. It combines hands-on techniques with big-picture thinking, enriched with real-world examples, case studies, and tool comparisons. With over 35 chapters and 400+ pages of comprehensive, actionable insight, this is your essential guide to the future of artificial intelligence — a future where creativity, cognition, and computation converge. Who Should Read This Book? AI engineers and machine learning developers Cloud architects and DevOps professionals Data scientists and analysts Tech entrepreneurs and business leaders Academics, researchers, and students in AI and data science Policy-makers and professionals shaping the ethical use of AI About the Author: Radhakrishnan Arikrishna Perumal is a Principal Architect with 22+ years in IT and AI innovation. He has authored multiple books on technology, delivered keynotes at global conferences, and contributes to the advancement of responsible and scalable AI systems. His work spans enterprise architecture, generative AI research, and technical leadership in the cloud-native ecosystem. Start your journey into the next generation of intelligent systems. This isn’t just a book — it’s a blueprint for building the future with AI.

Artificial Intelligence In Society

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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Artificial Intelligence For Design And Process Science

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Author : Sang C. Suh
language : en
Publisher: Springer Nature
Release Date : 2025-01-13

Artificial Intelligence For Design And Process Science written by Sang C. Suh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-13 with Computers categories.

This book provides a focused overview of what role artificial intelligence (AI) plays on the design and process of system development and perspectives on making it more and more relevant and beneficial for our society. It covers topics like large language models, generative AI, intelligenticism, communication dynamics representation, feature selection, smart design and social wellbeing, and it demonstrates the general applicability of AI to various problems in transdisciplinary domains. The book is a Festschrift for two lifetime fellows of the Society for Design and Process Science (SDPS), Bernd Kramer and Murat Tanik, in order to appreciate their work and honor them for lifelong dedication to design and process science. It is based on a special honorary event held at the AI in Design and Process Science (AIDPS) workshop during the 2024 Hawaii International Conference in System Sciences (HICSS). Overall, this book is a source of inspiration for everybody in academia and research sectors working on the vision of creating a strong, fruitful and creative community of design and process science for social wellbeing through the development of AI technologies.

Intelligent Systems Design And Applications

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Author : Ajith Abraham
language : en
Publisher: Springer Nature
Release Date : 2024-07-29

Intelligent Systems Design And Applications written by Ajith Abraham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Computers categories.

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Real-World Applications from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and real-world applications.

Analysis And Design Of Next Generation Software Architectures

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Author : Arthur M. Langer
language : en
Publisher: Springer Nature
Release Date : 2025-06-16

Analysis And Design Of Next Generation Software Architectures written by Arthur M. Langer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.

The 2nd edition will add a major chapter on Generative AI in Software Architecture. This chapter will provide a comprehensive background in generative models, its impact on software design, evolution of new analysis methodologies, and the overall impact of the Systems Development Life Cycle (SDLC). The new edition will also have new sections relating to Generative AI in Cybersecurity analysis and design, including proactive threat detection, ethical issues regarding privacy, and generative AI workflows (Charlotte AI). Other updates include Legacy System interfaces with Generative AI, new impacts on project management, and Platform design architecture. The 2nd edition will have a number of editing changes and corrections, as well as about 30 pages net of some eliminations of outdated content.

Intelligent Notification Systems

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Author : Abhinav Mehrotra
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Intelligent Notification Systems written by Abhinav Mehrotra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.

Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users. In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.

Fundamentals Of Deep Learning

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Author : Nikhil Buduma
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-25

Fundamentals Of Deep Learning written by Nikhil Buduma and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Computers categories.

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning

Research And Development In Intelligent Systems Xxvii

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Author : Max Bramer
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-12

Research And Development In Intelligent Systems Xxvii written by Max Bramer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-12 with Computers categories.

The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2010 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Intelligent Agents; Knowledge Discovery and Data Mining; Evolutionary Algorithms, Bayesian Networks and Model-Based Diagnosis; Machine Learning; Planning and Scheduling, followed by application stream sections on Applications of Machine Learning I and II; AI for Scheduling and AI in Action. The volume also includes the text of short papers presented as posters at the conference. This is the twenty-seventh volume in the Research and Development in Intelligent Systems series, which also incorporates the eighteenth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

Artificial Intelligence For Science A Deep Learning Revolution

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Author : Alok Choudhary
language : en
Publisher: World Scientific
Release Date : 2023-03-21

Artificial Intelligence For Science A Deep Learning Revolution written by Alok Choudhary and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.

This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

Proceedings Of The 9th International Conference On Computer Supported Collaborative Learning

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Author : Claire O'Malley
language : en
Publisher: Lulu.com
Release Date : 2009

Proceedings Of The 9th International Conference On Computer Supported Collaborative Learning written by Claire O'Malley and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.