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

Deep learning has become ubiquitous, touching daily lives across the globe. Today,
traditional computer architectures are stressed to their limits in efficiently executing the …

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

Neuromorphic computing is a promising computing paradigm toward building next-
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …

Spintronic devices are considered a possible solution for the hardware implementation of
artificial synapses and neurons, as a result of their non‐volatility, high scalability …

Nonvolatile spintronic devices have potential advantages, such as fast read/write and high
endurance together with back-end-of-the-line compatibility, which offers the possibility of …

Processing systems are in continuous evolution thanks to the constant technological
advancement and architectural progress. Over the years, computing systems have become …

The common feature of nearly all logic and memory devices is that they make use of stable
units to represent 0's and 1's. A completely different paradigm is based on three-terminal …

While early magnetic memory designs relied on magnetization switching by locally
generated magnetic fields, key insights in condensed matter physics later suggested the …

Probabilistic spin logic is a recently proposed computing paradigm based on unstable
stochastic units called probabilistic bits (p-bits) that can be correlated to form probabilistic …