ISBN: 9780750362573 - ai-processor electronics: basic technology of artificial intelligence (iop ebooks) (4 Ergebnisse)

- Hardcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 129,81
EUR 6,95 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 15 verfügbar
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

- Hardcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 179,51
Versand gratisVersand innerhalb von USAAnzahl: 15 verfügbar
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 171,36
EUR 17,68 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In English.

- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 263,23
EUR 35,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Buch. Zustand: Neu. Neuware - The revolutionary impact of advances in artificial intelligence on consumer and industrial electronics has significantly increased the demand for specialized processing units for AI workloads. AI-Processor Electronics: Basic Technology of Artificial Intelligence explores the principles and technology behind these processors, which perform fast, energy-efficient data processing and complex computations. The book begins with an overview of AI, machine learning, and deep learning, and a brief introduction to digital computer electronics. It highlights the limitations of traditional CPUs in modern AI, discussing parallel computing and AI-optimized hardware that are specially tailored and adapted to meet AI requirements. The book then covers various AI processors, including graphical, tensor, neural, convolutional neural network, vision, sparse neural network, graph analytics, associative memory, and quantum processing units.Key features: - Provides a review of the physics of operation of a diverse variety of representative AI processors, and the key concepts and innovations underlying their development - Covers the underlying principles, technologies, opportunities and future prospects - Highlights the inadequacies of general-purpose processors in meeting the computationally intensive needs of artificial intelligence workloads - Elucidates the use of parallel processing architecture in simultaneously performing multiple calculations across data streams - Explores the concepts of neuromorphic and quantum computing to address the growing demands of big data in AI.…