This book, the first of its kind, bridges the gap between the increasingly interlinked fields of nanophotonics and artificial intelligence (AI). While artificial intelligence techniques, machine learning in particular, have revolutionized many different areas of scientific research, nanophotonics holds a special position as it simultaneously benefits from AI-assisted device design whilst providing novel computing platforms for AI. This book is aimed at both researchers in nanophotonics who want to utilize AI techniques and researchers in the computing community in search of new photonics-based hardware. The book guides the reader through the general concepts and specific topics of relevance from both nanophotonics and AI, including optical antennas, metamaterials, metasurfaces, and other photonic devices on the one hand, and different machine learning paradigms and deep learning algorithms on the other. It goes on to comprehensively survey inverse techniques for device design, AI-enabled applications in nanophotonics, and nanophotonic platforms for AI. This book will be essential reading for graduate students, academic researchers, and industry professionals from either side of this fast-developing, interdisciplinary field.   

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.

'Delivering Business Value from IT' is focused on the evaluation issue in IT and how IT evaluation can proceed across the life-cycle of any IT investment and be linked positively to improving business performance.
Chapters 1,2 and 3 detail an approach to IT evaluation whilst chapters 4 and 5 build on these by showing two distinctive approaches to linking IT to business performance. The remaining three chapters deal with a range of evaluation issues emerging as important - specifically Internet evaluation, Y2K and beyond, EMU, quality outsourcing, infrastructure, role of benchmarking, and cost of ownership issues that practitioners regularly encounter.
A 'Computer Weekly' Professional Series book
Contains high visibility case studies including Safeway, Unipart, Hewlett Packard, Morgan Stanley, CNN, BP Exploration, British Aerospace, and Royal and Sun Alliance.

"Reinventing the Information Technology Department" is both anecdotal and informal but deals with a subject which is of interest to chief information officers (CIOs) and IT Managers, addressing questions such as: how does the IT department keep pace with business change?; how do we provide stable and responsive IT platforms?; how do we add recognized value to the organization?; how do I reinvent my department?; how do I get onto the board?;This text offers an alternative view of the new roles of the in-house IT function and proposes a rethink about IT services within companies, suggesting a self-help approach to redefining/reinventing in-house IT for CIOs. The text explains that new modes of business thinking and operation are essential if a company is to succeed in the near future and in light of this, covers topics such as self-organizing systems, knowledge management, multi-stakeholder perspectives and empowerment initiatives in relation to the overall business and in particular the IT function Each chapter of this text contains implementation templates for readers to take themselves through the repositioning or re-engineering of the IT function and their own departments.

The aim of this publication is to publish multidisciplinary discussions that contribute to improving the education of children and adults of all ages, anywhere in the world. These improvements must be based on clearly defined proven educational methodologies and policies and a better understanding of human learning. They can involve information technology (e-learning, Internet, broadband) but only as a support tool, not as an end in itself. The book identifies factors that contribute to the current crisis in education, which is now felt throughout the world. It reports on some innovative projects that give hope for the future, and surveys recent results in cognitive neuroscience, artificial intelligence, and educational psychology. This volume also examines the potential uses of broadband and mass media in supporting education.

Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends. The book focuses primarily on step-by-step discussion, an extensive literature review, detailed analysis and discussion, and rigorous experimentation results. Furthermore, a practical approach is displayed and encouraged.

A robust and engaging account of the single greatest threat faced by AI and ML systems In Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour – from inside secretive government organizations to academic workshops at ski chalets to Google’s cafeteria – recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes. Based on hundreds of interviews of academic researchers, policy makers, business leaders and national security experts, the authors compile the complex science of attacking AI systems with color and flourish and provide a front row seat to those who championed this change. Grounded in real world examples of previous attacks, you will learn how adversaries can upend the reliability of otherwise robust AI systems with straightforward exploits. The steeplechase to solve this problem has already begun: Nations and organizations are aware that securing AI systems brings forth an indomitable advantage: the prize is not just to keep AI systems safe but also the ability to disrupt the competition’s AI systems. An essential and eye-opening resource for machine learning and software engineers, policy makers and business leaders involved with artificial intelligence, and academics studying topics including cybersecurity and computer science, Not With A Bug, But With A Sticker is a warning—albeit an entertaining and engaging one—we should all heed. How we secure our AI systems will define the next decade. The stakes have never been higher, and public attention and debate on the issue has never been scarcer. The authors are donating the proceeds from this book to two charities: Black in AI and Bountiful Children’s Foundation.

The calculus of IT support for the banking, securities, and insurance industries has changed dramatically and rapidly over the past few years. Consolidation and deregulation are creating opportunities and challenges never before seen. Unheard of just a few years ago, e-commerce has given birth to new infrastructures and departments needed to support them. And the Internet/Intranet/Extranet triple-whammy is the most critical component of most financial IT shops. At the same time, new intelligent agents stand ready to take on such diverse functions as customer profiling and data mining.
Get a handle on all these new and newer ripples with Financial Services Information Systems. Here, in this exhaustive new guide and reference book, industry guru Jessica Keyes gives you the no-nonsense scoop on not just the tried and true IT tools of today, but also the up-and-coming "hot" technologies of tomorrow, and how to plan for them.
Financial Services Information Systems addresses challenges and solutions associated with:
o supporting the self-service revolution by servicing kiosks and ATMs efficiently and economically,
o straight-through processing for the securities industry,
o outsourcing business communications in the insurance industry,
o distributed integration as a cost-effective alternative to data warehousing, and
o putting inbound fax automation to work in financial organizations.

An effective Chief Technology Officer shapes almost every aspect of a modern business. This book shares the experience and advice of veteran CTOs and industry experts for handling IT crises, leading tech teams, and creating an inspiring vision for your company. In   Think Like a CTO  you will learn: Effective interaction and relationship building with other C-level executives Creating long term visions and executing on short term goals Interviewing, hiring, and terminating team members Negotiating salaries and managing promotions Architecting future proofed systems Handling security breaches and ransomware attacks Putting together budgets and working with your CFO Identifying and managing outsourced vendor opportunities Managing and communicating bad news by leading with data, not passion Being the kind of leader that employees want to follow and emulate Becoming a CTO is an incredible accomplishment. It’s also one of the hardest transitions a technologist can make. This high-power and high-pressure role demands skills that are rarely developed as a software engineer.   Think Like a CTO  shines a light on all the areas an aspiring CTO needs to master to succeed. You’ll learn how to build incredible working relationships with the rest of the C-suite, transform a company with private equity, and recruit and manage your development team. With this book as your guide, you’ll quickly become a trusted leader figure with an inspiring vision for your company. about the technology Every modern company is a technology company, and that makes the CTO one of the most important leaders in an organization. The CTO must plan a company’s technology vision, build and lead the team to get it done, and effectively interact with business leaders, clients, and investors. A highly effective CTO is vital for a company’s continued growth and success. This book will show you how to be that CTO. about the reader For technology leaders working in or aspiring towards a CTO role.

Gives a holistic approach to machine learning and data science applications, from design to deployment and quality assurance, as an overarching cyclical process; Bridges machine learning and software engineering to build a shared set of best practices useful to both academia and the industry; Discusses deployment options for different types of models and data to help practitioners reason and make informed choices. Emphasizes the role of coding standards and software architecture alongside statistical rigor to implement reproducible and scalable machine learning models Key Features: A complete guide to software engineering for machine learning and data science applications, from choosing the right hardware to analysing algorithms and designing scalable architectures. Surveys the state of the art of the software and frameworks used to build and run machine learning applications, comparing and contrasting their trade-offs. Comes with a complete case study in natural language understanding which illustrates the principles and the tools covered in the book. Code available from GitHub. Provides a multi-disciplinary view of how traditional software learning practices can be integrated with the workflows of domain experts and the unique characteristics of software in which data play a central role.

With the advent of advanced hand-held technology and the widespread nature of the Internet, the world of animated filmmaking is more exciting and accessible than ever. Due to this cultural and technological development, the success of independent animated film makers is on the rise. Independent Animation: Developing, Producing and Distributing Your Animated Films, Second Edition showcases some of the greatest, most innovative giants in the field and helps guide readers through the artistic process and production techniques. Story development, casting, color theory, distribution and the intimidating aspects of production are elucidated using various examples of acclaimed, viral and award-winning animated films from all over the world. Readers will also explore the changing nature of audiences, festivals and distributors’ relationships with animation and be granted first-hand guidance in navigating the diverse fields of animated filmmaking. Key Features: Covers the entire process of creating an independent animated film from story development and casting to editing and distribution Presents a comprehensive array of classic and contemporary case studies covering all manner of production methods from traditional pipelines to avant-garde, auteur and experimental approaches Features input and exclusive insight into the working processes of some of the industry’s most noteworthy indie animation talents, including Signe Baumane, Adam Elliot, Don Hertzfeldt, Kirsten Lepore, Robert Morgan, David OReilly, PES, Bill Plympton, Rosto, Chris Shepherd and dozens more Additional resources and interviews are available through a special section of Skwigly Online Animation Magazine.

On Time Technology Implementation presents technology implementation guidelines and lessons learned from over 30 years of successful, hands-on project experience.

This book presents part of the proceedings of the Manufacturing and Materials track of the iM3F 2020 conference held in Malaysia. This collection of articles deliberates on the key challenges and trends related to manufacturing as well as materials engineering and technology in setting the stage for the world in embracing the fourth industrial revolution. It presents recent findings with regards to manufacturing and materials that are pertinent towards the realizations and ultimately the embodiment of Industry 4.0, with contributions from both industry and academia.

This book presents part of the proceedings of the Manufacturing and Materials track of the iM3F 2021 conference held in Malaysia. This collection of articles deliberates on the key challenges and trends related to manufacturing as well as materials engineering and technology in setting the stage for the world in embracing the Fourth Industrial Revolution. It presents recent findings with regard to manufacturing and materials that are pertinent toward the realizations and ultimately the embodiment of Industry 4.0, with contributions from both industry and academia.

Responding to the needs of market researchers, business analysts, CI professionals, and other decision makers who understand online technology, Vibert provides a series of problem-driven, analytical frameworks to help them make better sense--and use--of the vast amounts of information now available and easily accessed on the Internet. Organizational decision makers, forced to understand complex competitive environments, have two important aids; analytical tools and information sources. To be truly effective, these tools must be used in concert. Vibert's book focuses on these tools and their usages. In doing so it provides ways for organizational decision makers to protect their own operations as they seek to gain better knowledge of their competitors.

Analysts, market researchers, corporate trainers, CI professionals, and others in decision-making capacities, in industries enabled by the Internet, will see quickly how well the content of Vibert's book fits what they do day-to-day. Academics and other teachers will find that the book challenges the traditional case method style of teaching by showing how real-time analysis can be brought into the classroom, the corporate training suite, and other places where information and knowledge are transmitted. Vibert maintains that real-time teaching or training depends on the use of library resources--and the world's largest library is the Internet. Unfortunately, the net has grown so large so fast that stakeholders lack ways to organize the vast quantities of information available there. It is these ways, these tools and resources, that Vibert provides in his discussion of question-driven analytical frameworks, the core of his book.

Search engines, subject gateways, descriptive metadata, Web cataloging--everyone is looking for ways to support information discovery and retrieval on the Internet. To become full partners in new digital access ventures, library and information professionals need to be familar with effective tools and stategies, and need to make decisions about what is appropriate for different resources, settings and communities. This book takes a look at what has been done in providing subject access to networked resources, and what is around the corner. Accompanies by ample illustrations and complementary online material, topics include: Metadata, as a potentiator of subject description; classification schemes and directories; alphabetical subject engines in all their variety; and trends in subject decription and access. A book directed to information professional, educators, and students involved in Web design, cataloging, indexing, reference, and information retrieval.