**Chapter 8 149**

Practical Approach to Induce Analog Switching Behavior in Memristive Devices: Digital-to-Analog Transformation *by Firman Mangasa Simanjuntak, Sridhar Chandrasekaran, Debashis Panda, Aftab Saleem and Themis Prodromakis*

Preface

**Yao-Feng Chang**

Flagstaff, AZ, USA

Intel,

The potential of machine learning and novel computing architecture can be exploited in the immediate future if more efficient hardware and devices are developed that meet the special requirements of bio-inspired computing or unconventional computing schemes. In this area, non-volatile memory technology using memristive devices (not restrained to any type of device) in combination with neuromorphic systems and memcomputing (memristor + computing) is a promising way to achieve such hardware. This book provides a platform for interdisciplinary research into unconventional computing with emerging physical substrates. It includes studies in areas such as biological modeling, mat #research erials physics and analytics, memristive devices in miniature scale, neuromorphic circuits, memcomputing, advanced arithmetic operations for logic applications, and other novel computing concepts and circuit schemes for potential biomimetic smart systems.
