This book explores how we search for resources in our minds and in the world. The authors examine the evolution and adaptive functions of search; the neural underpinnings of goal-searching mechanisms across species; psychological models of search in memory, decision making, and visual scenes and applications of search behaviour.

Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Minimize costs and maximize operations by automating mundane activities using AI tools Ideate solutions using real-world examples for manufacturing process improvement with AI Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples Book Description Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft's award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities. With Practical Guide to Azure Cognitive Services, you'll work through industry-specific examples of implementations to get a head-start in your production journey. You'll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you'll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you'll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions. By the end of this book, you'll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You'll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI. What you will learn Master cost-effective deployment of Azure Cognitive Services Develop proven solutions from an architecture and development standpoint Understand how Cognitive Services are deployed and customized Evaluate various uses of Cognitive Services with different mediums Disseminate Azure costs for Cognitive Services workloads smoothly Deploy next-generation Knowledge Mining solutions with Cognitive Search Explore the current and future journey of OpenAI Understand the value proposition of different AI projects Who this book is for This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries. Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIs Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK) Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scale Who This Book Is For Software engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.

Develop cloud applications based on the most popular Azure services, including hosting web applications, running containers, storing data using both relational and non-relational databases, and much more Key FeaturesTake a modern approach to Azure Cloud development and managementGet a detailed introduction to services such as web hosting, databases, and serverless platformsGet the hang of cloud services with this practical, developer-centric guide for Azure developersBook Description Microsoft Azure is currently one of the fastest growing public cloud service providers thanks to its sophisticated set of services for building fault-tolerant and scalable cloud-based applications. This second edition of Azure for Developers will take you on a journey through the various PaaS services available in Azure, including Azure App Service, Azure Functions, and Azure SQL Databases, showing you how to build a complete and reliable system with ease. Throughout the book, you'll discover ways to enhance your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, containerized solutions, and even search engines such as Azure Cognitive Search. That's not all!! The book also covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager, Azure Application Gateway, and Azure Front Door. By the end of this Azure book, you'll be able to build modern applications on the Azure cloud using the most popular and promising technologies to make your solutions reliable, stable, and efficient. What you will learnIdentify the Azure services that can help you get the results you needImplement PaaS components – Azure App Service, Azure SQL, Traffic Manager, CDN, Notification Hubs, and Azure Cognitive SearchWork with serverless componentsIntegrate applications with storagePut together messaging components (Event Hubs, Service Bus, and Azure Queue Storage)Use Application Insights to create complete monitoring solutionsSecure solutions using Azure RBAC and manage identitiesDevelop fast and scalable cloud applicationsWho this book is for This book is for developers and IT professionals who want to learn Microsoft Azure by developing applications based on various cloud services. Prior knowledge of software development and the basics of software architecture and Azure services give you an advantage.

This volume features the complete text of the material presented at the Twenty-Fourth Annual Conference of the Cognitive Science Society. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. The volume includes all papers, posters, and summaries of symposia presented at this leading conference that brings cognitive scientists together. The 2002 meeting dealt with issues of representing and modeling cognitive processes as they appeal to scholars in all subdisciplines that comprise cognitive science: psychology, computer science, neuroscience, linguistics, and philosophy.

The Routledge International Handbook of Creative Cognition is an authoritative reference work that offers a well-balanced overview of current scholarship across the full breadth of the rapidly expanding field of creative cognition. It contains 43 chapters written by world-leading researchers, covering foundational issues and concepts as well as state-of-the-art research developments. The handbook draws extensively on contemporary work exploring the cognitive representations and processes associated with creativity, whether studied in the laboratory or as it arises in real-world practice in domains such as education, art, science, entrepreneurship, design, and technological innovation. Chapters also examine the sociocognitive and cultural aspects of creativity in teams and organisations, while additionally capturing the latest research on the cognitive neuroscience of creativity. Providing a compelling synopsis of emerging trends and debates in the field of creative cognition and positioning these in relation to established findings and theories, this text provides a clear sense of the way in which new research is challenging traditional viewpoints. It is an essential reading for researchers in the field of creative cognition as well as advanced students wishing to learn more about the latest developments in this important and rapidly growing area of enquiry.

Mass collaboration on Internet platforms like Wikipedia and Scratch, along with wider movements like the maker space and citizen science, are poised to have profound impacts on learning and education. Bringing together researchers from such fields as: psychology, education, information technology, and economics, the book offers a comprehensive overview of mass collaboration, novel, cross disciplinary, theoretical accounts, and methodological approaches for studying and improving these massively collaborative enterprises. The book is aimed to serve as an information source for researchers, educators, and designers of platforms and learning environments.