Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

This article reviews static and dynamic interfacial effects in magnetism, focusing on
interfacially driven magnetic effects and phenomena associated with spin-orbit coupling and …

Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable
computing systems. Applications span from automatic classification for big data …

Conventional semiconductor-based logic and nanomagnet-based memory devices are built
out of stable, deterministic units such as standard metal-oxide semiconductor transistors, or …

This paper draws attention to a hardware system which can be engineered so that its
intrinsic physics is described by the generalized Ising model and can encode the solution to …

The topologically protected magnetic spin configurations known as Skyrmions offer
promising applications due to their stability, mobility, and localization. We emphasize how to …

Magnetic tunnel junctions (MTJs) utilizing unstable magnets with low barriers have been
shown to be well-suited for the implementation of random number generators (RNGs). It has …

In neuroscience, population coding theory demonstrates that neural assemblies can achieve
fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allow …

Lessons from Nanoelectronics : Overview Page 1 Chapter 1 Overview This chapter is
essentially the same as Chapter 1 from Part A. Related video lecture available at course …

We introduce the concept of a probabilistic or p-bit, intermediate between the standard bits
of digital electronics and the emerging q-bits of quantum computing. We show that low …