Reliability Enhancements in Memristive Neural Network Architectures

Gnawali, Krishna Prasad; Paudel, Bijay Raj; Mozaffari, Seyed Nima; Tragoudas, Spyros

doi:10.1109/tnano.2019.2933806

Cited by 10 publications

(1 citation statement)

References 39 publications

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“…One typical proposal for the framework at a conceptual level is the implementation of reinforcement algorithms that can pave the way to highly optimized memristive design and implementation as in Figure 4 wherein both the design optimization and fabrication constraints are supposed to be taken into consideration. It has been observed that architectural modifications can contribute to circuit reliability in memristor crossbar arrays (MCAs) [16]. Incorporating AI-driven techniques into memristor-based microchip design enhances not only efficiency and cost-effectiveness but also plays a significant role in improving circuit reliability.…”

Section: Ai In Memristor-based Microchips -Proposed Future Perspectivesmentioning

confidence: 99%

AI-driven Memristor-based Microchip Design: A Comprehensive Study

Anirudhan Jayadevi

2023

Memristors - The Fourth Fundamental Circuit Element - Theory, Device, and Applications

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Memristors represent a transformative technology with vast potential, and their integration into microchip design, aided by artificial intelligence (AI), holds the promise of revolutionizing various industries and applications. This chapter proposes the conceptual framework for the integration of AI in microchip design using memristors. It comprehensively discusses various microchip design aspects with AI, including architectural considerations, circuit design techniques, and optimization strategies employing machine learning. The chapter also delves into its potential applications in machine learning, Internet-of-Things (IoT), robotics, healthcare, etc. Ultimately, this study contributes to the development of next-generation microchips, harnessing AI and memristor technology to revolutionize computing and technological innovation.

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Section: Ai In Memristor-based Microchips -Proposed Future Perspectivesmentioning

confidence: 99%