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Advancing VLSI through Machine Learning
Innovations and Research Perspectives
Inhalt
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.
Bibliografische Angaben
März 2025, ca. 252 Seiten, Materials, Devices, and Circuits, Englisch
Taylor and Francis
978-1-032-77428-2
Inhaltsverzeichnis
Schlagworte
Inhalt
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.
Bibliografische Angaben
März 2025, ca. 252 Seiten, Materials, Devices, and Circuits, Englisch
Taylor and Francis
978-1-032-77428-2