Provides the details of state-of-the-art machine learning methods
used in VLSI Design. Discusses hardware implementation and device
modeling pertaining to machine learning algorithms. Explores
machine learning for various VLSI architectures and reconfigurable
computing. Illustrate latest techniques for device size and feature
optimization. Highlight latest case studies and reviews of the
methods used for hardware implementation.
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