AI assistants
Material type: TextSeries: MIT Press Essential Knowledge SeriesPublication details: The MIT Press Cambridge 2021Description: xvii, 260 pISBN:- 9780262542555
- 006.30285436 PIE
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Book | Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 006.30285436 PIE (Browse shelf(Opens below)) | 1 | Available | 006801 |
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006.301 BOS Superintelligence: paths, dangers, strategies | 006.301 FOR Rule of the robots: | 006.301 MAL Artificial intelligence and the future of power: | 006.30285436 PIE AI assistants | 006.3028557 DIX Big data analytics using artificial intelligence technologies: | 006.3068 HAQ Enterprise artificial intelligence transformation: a playbook for the next generation of business and technology leaders | 006.31 AGG Machine learning for text |
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.
(https://mitpress.mit.edu/9780262542555/ai-assistants/)
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