Isbn: 9780226837017 - divination engines: natural language processing, artificial intelligence, and the making of algorithmic culture (23 resultados)

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Hardback. Condición: New. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication-speech, text, and images-have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. …

Hardcover. Condición: new. Hardcover. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for workarounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communicationspeech, text, and imageshave become both the fodder for and products of computers. This connection, between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardback. Condición: New. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication-speech, text, and images-have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. …

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Condición: New.

Hardcover. Condición: Brand New. 304 pages. 8.51x5.51x8.50 inches. In Stock.

Condición: New. Brand New.

Condición: New. 2026. hardcover. . . . . .

Condición: New.

hardcover. Condición: New. Special order direct from the distributor.

Condición: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condición: Brand New. 304 pages. 8.51x5.51x8.50 inches. In Stock.

Buch. Condición: Neu. Neuware - A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication--speech, text, and images--have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. …

Condición: NEW.

Hardcover. Condición: new. Hardcover. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for workarounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communicationspeech, text, and imageshave become both the fodder for and products of computers. This connection, between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardback. Condición: New. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication-speech, text, and images-have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. …

Condición: New.

Hardcover. Condición: new. Hardcover. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for workarounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communicationspeech, text, and imageshave become both the fodder for and products of computers. This connection, between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condición: Neu. Divination Engines | Natural Language Processing, Artificial Intelligence, and the Making of Algorithmic Culture | Xiaochang Li | Buch | Einband - fest (Hardcover) | Englisch | 2026 | University of Chicago Press | EAN 9780226837017 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Hardback. Condición: New. A revealing and surprising origin story, showing how attempts to render human speech and language computable led from the era of big data to today's AI. Since the advent of computers, society has fantasized about conversing with machines. In this eye-opening book, technology expert Xiaochang Li shows readers how that dream both fueled the demand for data and set the stage for today's generative AI. With original research and clear explanations, Li elucidates the origins of what's known as natural language processing (NLP) and the heated twentieth-century debates between computer scientists, linguists, and communication engineers that shaped today's technology. Starting with early devices that recorded, analyzed, and attempted to interpret human speech, she demonstrates how computer speech recognition, particularly efforts led by Bell Labs and IBM, advanced technology by deemphasizing linguistic meaning in favor of statistical prediction. In other words, researchers gradually abandoned systems that sought to understand human language, opting instead for work-arounds that simply predicted patterns in speech and text data. That solution became incredibly and surprisingly adaptable. As Li reveals, transforming linguistic questions into engineering ones ushered in the routine operation of search engines, spam filters, and the varied content sorting and recommendation mechanisms that regulate the access, circulation, and legitimacy of information across every platform. But this has all come at the cost of forever requiring copious and ever-growing amounts of new data. At its core, Divination Engines illuminates how the artifacts of human communication-speech, text, and images-have become both the fodder for and products of computers. This connection between communication and computation, Li shows, has given rise to data-driven analytics, machine learning, and today's algorithmic culture. …