Design Methodologies for Skyrmion-Based Circuits and Systems in AI-Driven Applications: Bi-Directional Integration [Feature]

Magnetic skyrmions are nanoscale bubbles that emerge in specific materials due to unique magnetic interactions. These structures are not only stable but also require minimal energy to manipulate, positioning them as promising elements for next-generation electronic devices. Their inherent properties such as topological stability, low power requirements, and potential for miniaturization make them ideal for developing energy-efficient computing systems, including logic gates, arithmetic units, and in-memory computing architectures, as well as artificial neurons. This feature review explores the extensive range of applications for skyrmions, emphasizing their role in both fundamental computing operations and complex AI systems. It discusses the dynamics of skyrmions and their integration into basic and advanced AI architectures. The review aims to synthesize recent progress in the field of skyrmionics, highlighting their capability to revolutionize future computing technologies by improving energy efficiency and system scalability. Furthermore, the review explores the reciprocal relationship between AI and skyrmion technology. It examines how AI can enhance the understanding and optimization of skyrmion systems, thereby boosting their effectiveness in AI applications. Conversely, it also considers how skyrmion-based technologies facilitate advancements in AI, creating a bi-directional flow of benefits. This dual focus not only underscores the versatility of skyrmions in AI contexts but also highlights the symbiotic advancements achievable through this emerging technology integration leading to pathways in AI for skyrmion along with skyrmion for AI.