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Can We Trust Ai?
Taschenbuch von Rama Chellappa
Sprache: Englisch

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Beschreibung
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.
Über den Autor

Rama Chellappa, PhD, is a pioneering researcher and inventor in the fields of artificial intelligence, computer vision, and machine learning. A Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, he is also a member of the Johns Hopkins Center for Imaging Science, the Center for Language and Speech Processing, the Institute for Assured Autonomy, and the Mathematical Institute for Data Science. A Fellow of the Association for the Advancement of Artificial Intelligence, the Institute for Electrical and Electronics Engineers, and the National Academy of Inventors, Dr. Chellappa holds eight patents. He is a member of the National Academy of Engineering and the recipient of the 2020 IEEE Jack S. Kilby Medal for Signal Processing. His work has been featured by the Associated Press, the BBC, and Popular Science (Discovery Channel). Eric Niiler (CHEVY CHASE, MD) is a science writer for The Wall Street Journal and an adjunct faculty member in the Johns Hopkins University Graduate Program in Science Writing. His work has appeared in WIRED, National Geographic, The Washington Post, and on NPR and BBC/PRI's The World.

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781421445304
ISBN-10: 1421445301
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Chellappa, Rama
Hersteller: Johns Hopkins University Press
Verantwortliche Person für die EU: Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 165 x 132 x 30 mm
Von/Mit: Rama Chellappa
Erscheinungsdatum: 15.11.2022
Gewicht: 0,227 kg
Artikel-ID: 121262538
Über den Autor

Rama Chellappa, PhD, is a pioneering researcher and inventor in the fields of artificial intelligence, computer vision, and machine learning. A Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, he is also a member of the Johns Hopkins Center for Imaging Science, the Center for Language and Speech Processing, the Institute for Assured Autonomy, and the Mathematical Institute for Data Science. A Fellow of the Association for the Advancement of Artificial Intelligence, the Institute for Electrical and Electronics Engineers, and the National Academy of Inventors, Dr. Chellappa holds eight patents. He is a member of the National Academy of Engineering and the recipient of the 2020 IEEE Jack S. Kilby Medal for Signal Processing. His work has been featured by the Associated Press, the BBC, and Popular Science (Discovery Channel). Eric Niiler (CHEVY CHASE, MD) is a science writer for The Wall Street Journal and an adjunct faculty member in the Johns Hopkins University Graduate Program in Science Writing. His work has appeared in WIRED, National Geographic, The Washington Post, and on NPR and BBC/PRI's The World.

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781421445304
ISBN-10: 1421445301
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Chellappa, Rama
Hersteller: Johns Hopkins University Press
Verantwortliche Person für die EU: Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 165 x 132 x 30 mm
Von/Mit: Rama Chellappa
Erscheinungsdatum: 15.11.2022
Gewicht: 0,227 kg
Artikel-ID: 121262538
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