Artificial Intelligence 2021 HIGHLIGHTS AI FOR COMPUTER ARCHITECTURE Principles, Practice, and Prospects Lizhong Chen, Drew Penney & Daniel Jiménez
INTRODUCTION TO SYMBOLIC PLAN AND GOAL RECOGNITION Reuth Mirsky, Sarah Keren & Christopher Geib
2020 142pp 9781681739847 Paperback US$49.95 9781681739861 Hardback US$69.95
Jan 2021 190pp 9781636390413 Paperback US$44.95 9781636390437 Hardback US$64.95
Synthesis Lectures on Computer Architecture
Synthesis Lectures on Artificial Intelligence and Machine Learning Plan recognition, activity recognition, and goal recognition all involve making inferences about other actors based on observations of their interactions with the environment and other agents. This synergistic area of research combines, unites, and makes use of techniques and research from a wide range of areas which has produced a wealth of ideas, models, tools, and results in the recognition literature. However, it has also contributed to fragmentation in the field, with researchers publishing relevant results in a wide spectrum of journals and conferences. This book seeks to address this fragmentation.
Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader application to the design, optimization, and simulation of computer architecture. This book reviews the application of machine learning in system-wide simulation and runtime optimization, and in many individual components such as caches/memories, branch predictors, networks-on-chip, and GPUs.
CONVERSATIONAL AI Dialogue Systems, Conversational Agents, and Chatbots
DATA ORCHESTRATION IN DEEP LEARNING ACCELERATORS Tushar Krishna et al
Michael McTear
WHY AI/DATA SCIENCE PROJECTS FAIL How to Avoid Project Fails Joyce Weiner
2020 77pp 9781636390383 Paperback US$34.95 9781636390406 Hardback US$54.95
Synthesis Lectures on Computation and Analytics Recent data shows that 87% of Artificial Intelligence/Big Data projects don’t make it into production (VentureBeat, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.
DECISION-MAKING, PLANNING, AND CONTROL STRATEGIES FOR INTELLIGENT VEHICLES Haotian Cao et al
2020 251pp 9781636390314 Paperback US$79.95 9781636390338 Hardback US$99.95
2020 164pp 9781681738697 Paperback US$69.95 9781681738710 Hardback US$89.95
2020 138pp 9781681738826 Paperback US$49.95 9781681738840 Hardback US$69.95
Synthesis Lectures on Human Language Technologies
Synthesis Lectures on Computer Architecture
Provides a comprehensive introduction to Conversational AI. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning.
Focuses on techniques for efficient data orchestration within DNN accelerators. The book covers DNN dataflows, data reuse, buffer hierarchies, networks-on-chip, and automated design-space exploration. It concludes with data orchestration challenges with compressed and sparse DNNs and future trends.
Synthesis Lectures on Advances in Automotive Technology
Covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system. The book introduces an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods.
DEEP LEARNING APPROACHES TO TEXT PRODUCTION Shashi Narayan & Claire Gardent
2020 199pp 9781681737584 Paperback US$79.95 9781681737607 Hardback US$99.95
Synthesis Lectures on Human Language Technologies
Offers an overview of the fundamentals of neural models for text production. In particular, the book explores three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives.
DEEP LEARNING SYSTEMS Algorithms, Compilers, and Processors for Large-Scale Production Andres Rodriguez 2020 265pp 9781681739663 Paperback US$89.95 9781681739687 Hardback US$109.95
Synthesis Lectures on Computer Architecture
Details advances and adoption of deep learning (DL) models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets.
EDGE INTELLIGENCE IN THE MAKING Optimization, Deep Learning, and Applications Sen Lin et al 2020 233pp 9781681739908 Paperback US$79.95 9781681739922 Hardback US$99.95
Synthesis Lectures on Learning, Networks, and Algorithms
To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence.
EMBEDDINGS IN NATURAL LANGUAGE PROCESSING
Theory and Advances in Vector Representations of Meaning Mohammad Taher Pilehvar & Jose Camacho-Collados 2020 175pp 9781636390215 Paperback US$64.95 9781636390239 Hardback US$84.95
Synthesis Lectures on Human Language Technologies
Provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings.
GRAPH REPRESENTATION LEARNING William L. Hamilton
2020 159pp 9781681739632 Paperback US$59.95 9781681739656 Hardback US$79.95
Synthesis Lectures on Artificial Intelligence and Machine Learning
Provides a synthesis and overview of graph representation learning. The book presents a discussion of the goals of graph representation learning and key methodological foundations in graph theory and network analysis, introduces and reviews methods for learning node embeddings, and provides an introduction to graph neural network formalism.
INTELLIGENT NOTIFICATION SYSTEMS Abhinav Mehrotra & Mirco Musolesi
2020 75pp 9781681737195 Paperback US$34.95 9781681737218 Hardback US$54.95
Synthesis Lectures on Mobile and Pervasive Computing
Presents an overview of the state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. The book presents a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications; it then discusses existing challenges and opportunities.
INTRODUCTION TO DEEP LEARNING FOR ENGINEERS Using Python and Google Cloud Platform Tariq M. Arif 2020 109pp 9781681739137 Paperback US$39.95 9781681739151 Hardback US$59.95
Synthesis Lectures on Mechanical Engineering
Provides a short introduction and easy-tofollow implementation steps of deep learning using Google Cloud Platform. The book also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model.
INTRODUCTION TO GRAPH NEURAL NETWORKS Zhiyuan Liu & Jie Zhou
2020 127pp 9781681737652 Paperback US$44.95 9781681737676 Hardback US$64.95
Synthesis Lectures on Artificial Intelligence and Machine Learning
Provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced. Variants for different graph types and advanced training methods are also included.
INTRODUCTION TO LOGIC PROGRAMMING Michael Genesereth & Vinay K. Chaudhri
2020 219pp 9781681737225 Paperback US$79.95 9781681737249 Hardback US$99.95
Synthesis Lectures on Artificial Intelligence and Machine Learning
Takes an innovative, model-theoretic approach to logic programming. The authors begin with the fundamental notion of datasets, i.e., sets of ground atoms. They then introduce actions, i.e., additions and deletions of ground atoms; and define dynamic logic programs as sets of action definitions.
2020 152pp 9781681739397 Paperback US$49.95 9781681739410 Hardback US$69.95
Synthesis Lectures on Advances in Automotive Technology
The control of Connected and Automated Vehicles (CAVs) has recently attracted strong attention for various automotive applications. This book provides a comprehensive overview of the current collision avoidance strategies for traditional vehicles and CAVs.
STATISTICAL SIGNIFICANCE TESTING FOR NATURAL LANGUAGE PROCESSING Rotem Dror et al
2020 116pp 9781681737959 Paperback US$49.95 9781681737973 Hardback US$69.95
Synthesis Lectures on Human Language Technologies
Discusses the main aspects of statistical significance testing in Natural Language Processing (NLP). The guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one.
ALGORITHMS FOR REINFORCEMENT LEARNING
The Evolution of Human-Computer Interaction
Csaba Szepesvari
2010 103pp 9781608454921 Paperback US$35.00 9781681732138 Hardback US$55.00
Jonathan Grudin 2017 183pp 9781627059633 Paperback US$49.95
Synthesis Lectures on Artificial Intelligence and Machine Learning
9781681732275 Hardback US$69.95
Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. This book focuses on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming.
Offer a comprehensive history of humancomputer interaction. This book describes the different fields that have participated in improving our digital tools. It is organized chronologically, describing major developments across fields in each period.
Synthesis Lectures on Human-Centered Informatics
NEURAL NETWORK METHODS FOR NATURAL LANGUAGE PROCESSING
DEEP LEARNING FOR COMPUTER ARCHITECTS Brandon Reagen et al
2017 123pp 9781627057288 Paperback US$54.95 9781681732190 Hardback US$74.95
Yoav Goldberg
2017 309pp 9781627052986 Paperback US$74.95
Synthesis Lectures on Computer Architecture
A primer for computer architects in a new and rapidly evolving field. The authors review how machine learning has evolved since its inception in the 1960s and track the key developments leading up to the emergence of the powerful deep learning techniques that have emerged in the last decade.
DEMYSTIFYING OWL FOR THE ENTERPRISE Michael Uschold
2018 237pp 9781681731278 Paperback US$69.95 9781681732831 Hardback US$89.95
Synthesis Lectures on the Semantic Web: Theory and Technology
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FROM TOOL TO PARTNER
The purpose of this book is to speed up the process of learning and mastering Web Ontology Language (OWL). The focus is on the 30% of OWL that gets used 90% of the time. The book unfolds in a spiral manner, starting with the core ideas. Each subsequent cycle expands on what has been learned in prior cycles and introduces related ideas.
9781681732350 Hardback US$94.95
Synthesis Lectures on Human Language Technologies
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book covers the basics of supervised machine learning and feed-forward neural networks. The second part of the book introduces more specialized neural network architectures.
ONTOLOGY ENGINEERING
Elisa F. Kendall & Deborah L. McGuinness 2019 120pp 9781681733081 Paperback US$49.95 9781681733104 Hardback US$69.95
Synthesis Lectures on the Semantic Web: Theory and Technology
Motivated by the Ontology 101 tutorial given for many years at what was originally the Semantic Technology Conference (SemTech), this book is designed to provide the foundations for ontology engineering. It can serve as a course textbook or a primer for all those interested in ontologies.
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