Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

Magnonics addresses the physical properties of spin waves and utilizes them for data
processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

The mutual synchronization of spin-torque oscillators (STOs) is critical for communication,
energy harvesting and neuromorphic applications. Short range magnetic coupling-based …

Memristive devices share remarkable similarities to biological synapses, dendrites, and
neurons at both the physical mechanism level and unit functionality level, making the …

Simulating physical dynamics to solve hard combinatorial optimization has proven effective
for medium-to large-scale problems. The dynamics of such systems is continuous, with no …

Sensing technology is an important aspect of information processing. Current development
in artificial intelligence systems (especially those aimed at medical and environmental …