Web Neural Network Api Architecture And Implementation
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Web Neural Network API Architecture and Implementation
"Web Neural Network API Architecture and Implementation" "Web Neural Network API Architecture and Implementation" is a comprehensive guide to enabling neural network inference directly within web browsers. Beginning with a historical overview of machine learning in the browser, the book explores the motivations for web-native inference, evaluating the privacy, latency, and ecosystem advantages of this paradigm. It provides a comparative landscape of current AI APIs, introduces key design goals and challenges of browser-based neural computation, and reviews the evolving standards shaped by industry and the W3C. Delving into architectural foundations, the book systematically breaks down the core abstractions of Web Neural Network APIs—from context, operands, and operators, to computation graphs and backend support spanning CPUs, GPUs, WebAssembly, and hardware accelerators. Readers will find in-depth analyses of API semantics, including synchronous and asynchronous workflow patterns, session management, composability, and robust error handling. Advanced topics such as integration with JavaScript and WebAssembly, optimization strategies for different backends, and rigorous testing and validation regimes equip practitioners to build resilient, high-performance web ML systems. Throughout, this authoritative reference emphasizes security, privacy, and compliance, addressing attack surfaces, user consent, model protection, and auditability. The final chapters look to the future, exploring collaborative and federated learning in the browser, on-device training, hybrid edge/cloud architectures, and responsible AI concerns. Rich with technical insights, best practices, and emerging trends, this book is an invaluable resource for developers, architects, and researchers navigating the next generation of AI on the web.
Artificial Intelligence with Python
Author: Prateek Joshi
language: en
Publisher: Packt Publishing Ltd
Release Date: 2017-01-27
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Information Integration and Web Intelligence
This volume includes the papers presented at the 24th International Conference on Information Integration and Web Intelligence (iiWAS 2022), organized in conjunction with 24th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2022). The dominant research focus of submitted papers was artificial intelligence and machine learning. The accepted papers presented advances and innovations in an array of areas such as internet of things, virtual and augmented reality, various business applications. iiWAS 2022 attracted 97 papers, from which the Program Committee selected 26 regular papers and 25 short papers. Due to safety concerns as well as other restrictions preventing travel and gatherings, it was decided to organize iiWAS 2022 as a virtual conference.