Ai Assistants

An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant. Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology; problems in extracting meaning from utterances in order to execute a request; language and speech generation; the dialog manager module; and interactions with social assistants and robots. Finally, he considers the next big challenge in the development of virtual assistants: building in more intelligence--enabling them to do more than communicate in natural language and endowing them with the capacity to know us better, predict our needs more accurately, and perform complex tasks with ease.

An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant. Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology; problems in extracting meaning from utterances in order to execute a request; language and speech generation; the dialog manager module; and interactions with social assistants and robots. Finally, he considers the next big challenge in the development of virtual assistants: building in more intelligence--enabling them to do more than communicate in natural language and endowing them with the capacity to know us better, predict our needs more accurately, and perform complex tasks with ease.

The Practical Philosophy of AI-Assistants presents a formal conversation between an AI engineer, Peter, and a humanities researcher, Suman. The book ensures that specialist concepts in AI research are made comprehensible to a humanities researcher, while humanities theories can be easily grasped by an AI engineer.The authors establish ground rules to design an AI-Assistant, that is, an AI system that could act as a personal friend, consultant and confidante for every individual, to be integrated into our daily lives. These rules apply to four large areas of AI development: recognition and identification, communication, explanation, and civility.In discussing these areas, this book provides an accessible account of the current state of AI research, as well as adding nuance to the underpinning assumptions informing the relevant technologies, reflecting on their social implications.The broader ideological objective of The Practical Philosophy of AI-Assistants is captured by the phrase 'practical philosophy', which expresses a commitment to bringing AI development to work towards a good life for all.

Virtual personal assistants (VPAs) are changing the way we interact with our mobile devices. These AI-powered assistants can understand our voice commands and complete tasks on our behalf. In this book, M.B. Chatfield explores the evolution of VPAs from their early days to the present. He discusses the different types of VPAs available, as well as how they are being used in new and innovative ways. Chatfield also discusses the potential benefits and drawbacks of VPAs. He argues that VPAs have the potential to make our lives more convenient and efficient, but that they also raise concerns about privacy and bias. This book is a must-read for anyone interested in learning more about the latest advances in AI and how they are impacting our lives. Chatfield's insightful analysis provides a valuable overview of this rapidly evolving field.

Advanced Virtual Assistants (AVAs) are computer programs that use artificial intelligence (AI) to perform various tasks for human users. These AI-powered assistants can help with multiple activities, including scheduling appointments, answering questions, managing email and social media, and even performing complex calculations. They can be accessed through various platforms, including smartphones, smart speakers, and other digital devices. AVAs utilize natural language processing (NLP) and machine learning algorithms to understand human language and improve their responses over time. As these technologies advance, virtual assistants are becoming increasingly sophisticated and capable of handling more complex tasks. As a result, they are transforming how we interact with technology and providing users with more efficient and personalized experiences. This book is a helpful reference for scientists and industrial experts interested in AVAs' current and future capabilities.

Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow. This book provides an overview of the various cognitive technology choices available and takes a deep dive into cognitive virtual agents for handling complex real-life use cases in various industries such as travel and weather. You’ll delve deeper into the advanced features of cognitive virtual assistants implementing features such as input/output context, follow-up intents, actions and parameters, and handling complex multiple intents. You’ll learn how to integrate with third-party messaging platforms by integrating your cognitive bot with Facebook messenger. You’ll also integrate with third-party APIs to enrich your cognitive bots using webhooks. Cognitive Virtual Assistants Using Google Dialogflow takes the complexity out of the cognitive platform and provides rich guidance which you can use when developing your own cognitive bots. The book covers Google Dialogflow in-depth and starts with the basics, serving as a hands-on guide for developers who are starting out on their journey with Google Dialogflow. All the code presented in the book will be available in the form of scripts and configuration files, which allows you to try out the examples and extend them in interesting ways. What You Will Learn Develop cognitive bots with Google Dialogflow technologyUse advanced features to handle complex conversation scenariosEnrich the bot’s conversations by understanding the sentiment of the userSee best practices for developing cognitive botsEnhance a cognitive bot by integrating with third-party services Who This Book Is For AI and ML developers.

A virtual assistant by any name - Alexa, Siri, whoever - can be a sweet addition to your home. You might use one for simple jobs like playing music or streaming podcasts. And you might use one to communicate with friends and remind you about homework coming due while helping you make your breakfast. Find out how digital assistants work and what the future might hold for this part of a high-tech home.

The congruence of technology such as AI and its use for education can help transform the different pedagogical practices and future of education. Educational organizations like The UNESCO and The World Bank are already calling for research and development-oriented projects, and creation/mobilization of technological initiatives on how to re-imagine education and operationalize the use of digital technologies for its purpose, the "Digitized-Education". Those goals mean or include methodological approaches and wide adoption of the AI-methods in fostering education in the classroom or learning environments. Also noteworthy is the fact that "digitized-education" is now an inevitable and integral element to achieving the global sustainable development goals (SDGs) particularly the SDG4 that promotes quality of education.