This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.

This book will introduce you to the basic principles of deep learning and teach you to build a neural network model from scratch. As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems, including structured data, computer vision, text data, anomaly detection, and recommendation systems. You'll cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud. In the concluding chapters, you will learn about the theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics.

Dr. Reinhard Klette, Fellow of the Royal Society of New Zealand, is a Professor at the Auckland University of Technology (AUT). His numerous publications include the books "Computer Vision for Driver Assistance" (co-authored by Mahdi Rezaei), "Multi-target Tracking" (co-authored by Junli Tao), "Concise Computer Vision", "Euclidean Shortest Paths" (co-authored by Fajie Li), "Panoramic Imaging" (co-authored by Fay Huang and Karsten Scheibe), "Digital Geometry" (co-authored by the late Azriel Rosenfeld), "Computer Vision - Three-Dimensional Data from Images" (co-authored by Karsten Schluens and Andreas Koschan), "The Handbook of Image Processing Operators" (co-authored by the late Piero Zamperoni), and "Fast Algorithms and their Implementation on Specialized Parallel Computers" (co-authored by Jozef Miklosko, Marian Vajtersic, and Imre Vrto)

Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms.

Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.

The days when switching from a brick-and-mortar store to an online store was considered a significant modification to the business model are long gone. Thanks to artificial intelligence (AI), the hottest trend in online shopping, the surge of new technologies has radically changed the way people shop. Artificial intelligence (AI) is not a future technology; rather, it is a very real and unavoidable part of the modern era. Artificial intelligence is transforming the retail sector. Retailers may use AI to communicate with customers and operate more efficiently, from deploying cutting-edge tools to customize marketing campaigns to implementing ML for inventory management.

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These research advances have not gone unnoticed by educators. Many universities have begun offering courses on the subject of deep reinforcement learning. The aim of this book is to provide an overview of the field, at the proper level of detail for a graduate course in artificial intelligence. It covers the complete field, from the basic algorithms of Deep Q-learning, to advanced topics such as multi-agent reinforcement learning and meta learning.

StyleScan, the developer of virtual-dressing technology for the fashion industry, announced that it raised an additional $1 million in funding, bringing its total seed-round capital to $3 million. StyleScan's leadership said that this financing is propelling the expansion of its e-commerce'software as a service' (SaaS) solutions including the launch of new AI-driven products in the coming months. "With everything going increasingly digital, including fashion, online retailers need to up their game and improve the customer experience," said StyleScan Founder and CEO Larissa Posner. "StyleScan helps them do that: Our newest SaaS plugin--ModelSwitch--empowers online shoppers. It allows them to preview garments on models with a wide range of body shapes, sizes and skin-tones. This makes fashion more relatable for everyone."

Figure 4. Final image, background removed SageMaker JumpStart streamlines the deployment of the prebuilt model on SageMaker, which supports the semantic segmentation algorithm. You can test this using the sample Jupyter notebook available at Extract Image using Semantic Segmentation, which demonstrates how to extract an individual form from the surrounding background. SageMaker JumpStart is a quick way to learn about SageMaker features and capabilities through curated one-step solutions, example notebooks, and deployable pre-trained models.