AI Assistants AI Assistants
    • 10,99 €

Descrizione dell’editore

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.

GENERE
Computer e internet
PUBBLICATO
2021
7 settembre
LINGUA
EN
Inglese
PAGINE
288
EDITORE
MIT Press
DATI DEL FORNITORE
Random House, LLC
DIMENSIONE
931,5
KB
Artificial General Intelligence Artificial General Intelligence
2024
Machine Learning, revised and updated edition Machine Learning, revised and updated edition
2021
Post-Truth Post-Truth
2018
Behavioral Insights Behavioral Insights
2020
Critical Thinking Critical Thinking
2020
AI Ethics AI Ethics
2020
Synesthesia Synesthesia
2018
Data Science Data Science
2018