Chellappa Rama (728 results)

Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Paperback. Condition: New. Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect from it, and how it can be harnessed to make our lives not only safer and more convenient but also more equitable. Can We Trust AI? is essential reading for anyone who wants to understand the potential-and pitfalls-of artificial intelligence. The book features. an exploration of AI's origins during the post-World War II era through the computer revolution of the 1960s and 1970s, and its explosion among technology firms since 2012; highlights of innovative ways that AI can diagnose medical conditions more quickly and accurately; explanations of how the combination of AI and robotics is changing how we drive; and. interviews with leading AI researchers who are pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just. Johns Hopkins WavelengthsIn classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries and innovations benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, planetary science, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect from it, and how it can be harnessed to make our lives not only safer and more convenient but also more equitable. Can We Trust AI? is essential reading for anyone who wants to understand the potential-and pitfalls-of artificial intelligence. The book features. an exploration of AI's origins during the post-World War II era through the computer revolution of the 1960s and 1970s, and its explosion among technology firms since 2012; highlights of innovative ways that AI can diagnose medical conditions more quickly and accurately; explanations of how the combination of AI and robotics is changing how we drive; and. interviews with leading AI researchers who are pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just. Johns Hopkins WavelengthsIn classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries and innovations benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, planetary science, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: Good. Has some wear and creases. Has a remainder mark. paperback Used - Good 2024.

paperback. Condition: Very Good.

Paperback. Condition: new. Paperback. Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide?Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect from it, and how it can be harnessed to make our lives not only safer and more convenient but also more equitable. Can We Trust AI? is essential reading for anyone who wants to understand the potentialand pitfallsof artificial intelligence. The book features: an exploration of AI's origins during the postWorld War II era through the computer revolution of the 1960s and 1970s, and its explosion among technology firms since 2012; highlights of innovative ways that AI can diagnose medical conditions more quickly and accurately; explanations of how the combination of AI and robotics is changing how we drive; and interviews with leading AI researchers who are pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just. Johns Hopkins WavelengthsIn classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries and innovations benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, planetary science, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Broschiert. Condition: Gut. 170 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Text in ENGLISCHER Sprache! Sprache: Englisch Gewicht in Gramm: 300.…

Paperback. Condition: Brand New. 152 pages. 7.00x5.00x0.39 inches. In Stock.

Condition: New. 2022. paperback. . . . . .

Condition: New. In English.

Hardcover. Condition: Very Good. Dust Jacket Condition: Published Without Dust Jacket. 1st Edition. 244 pp. Tightly bound. Corners not bumped. Text is free of markings. No ownership markings. Published without a dust jacket. Printed boards. The boards no longer show as glossy as when new. First Edition / First Printing. 9,8,7,6,5,4,3,2,1. This copy is smyth sewn. Smyth sewing is a method of bookbinding where groups of folded pages (referred to as signatures) are stitched together using binder thread. Each folded signature is sewn together individually with multiple stitches and then joined with other signatures to create the complete book block. This is the traditional and best method of bookbinding.…

Hardcover. Condition: Fine. Hardcover small quarto in glossy purple paper-backed boards; xii, 581 pages: b/w illustrations; 24 cm. Markov random fields, Image modeling, Gauss, Single-Photon Emission Tomography From the library of Dr. Donald A. Glaser, inventor of the bubble chamber. Nobel Prize in Physics, 1961; Search keyword DGLSR to see dozens of volumes from The Glaser Collection. Fine / as new copies for for private library spine labels. Appears unread.…

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. 2022. paperback. . . . . . Books ship from the US and Ireland.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware -'Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI , Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect from it, and how it can be harnessed to make our lives not only safer and more convenient but also more equitable. Can We Trust AI is essential reading for anyone who wants to understand the potential-and pitfalls-of artificial intelligence. The book features: an exploration of AI's origins during the post-World War II era through the computer revolution of the 1960s and 1970s, and its explosion among technology firms since 2012; highlights of innovative ways that AI can diagnose medical conditions more quickly and accurately; explanations of how the combination of AI and robotics is changing how we drive; and interviews with leading AI researchers who are pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just. Johns Hopkins WavelengthsIn classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries and innovations benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, planetary science, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms'-- 224 pp. Englisch.…

hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Encuadernación de tapa blanda. Condition: Como Nuevo.

Encuadernación de tapa blanda. Condition: Como Nuevo.

Condition: Good. : Este libro recopila las actas de la 27ª Conferencia Internacional sobre Reconocimiento de Patrones, ICPR 2024, celebrada en Kolkata, India, del 1 al 5 de diciembre de 2024. Los 963 artículos presentados fueron cuidadosamente revisados y seleccionados de un total de 2106 presentaciones. Tratan temas como el reconocimiento de patrones, la inteligencia artificial, el aprendizaje automático, la visión por ordenador, la visión robótica, el procesamiento de imágenes, el procesamiento del habla, el procesamiento de señales, el procesamiento de vídeo, la biometría, la interacción persona-ordenador (HCI), el análisis de documentos, el reconocimiento de documentos, la imagen biomédica y la bioinformática. EAN: 9783031781711 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pattern Recognition Autor: Apostolos Antonacopoulos| Subhasis Chaudhuri| Rama Chellappa| Cheng-Lin Liu| Saumik Bhattacharya| Umapada Pal Editorial: Springer Idioma: en Páginas: 480 Formato: tapa blanda.…

Encuadernación de tapa blanda. Condition: Aceptable. G335. IEEE Computer Society - 659pp (V) Cubierta desgastada por el paso del tiempo. Lomo roto en la parte inferior. ang.

Condition: Very Good. : Este libro recopila las actas de la 27ª Conferencia Internacional sobre Reconocimiento de Patrones, ICPR 2024, celebrada en Kolkata, India, del 1 al 5 de diciembre de 2024. Los 963 artículos presentados fueron cuidadosamente revisados y seleccionados de un total de 2106 presentaciones. Tratan temas como el reconocimiento de patrones, la inteligencia artificial, el aprendizaje automático, la visión por ordenador, la visión robótica, el procesamiento de imágenes, el procesamiento del habla, el procesamiento de señales, el procesamiento de vídeo, la biometría, la interacción persona-ordenador (HCI), el análisis de documentos, el reconocimiento de documentos, la imagen biomédica y la bioinformática. EAN: 9783031781711 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pattern Recognition Autor: Apostolos Antonacopoulos| Subhasis Chaudhuri| Rama Chellappa| Cheng-Lin Liu| Saumik Bhattacharya| Umapada Pal Editorial: Springer Idioma: en Páginas: 480 Formato: tapa blanda.…