Biological systems spontaneously convert energy input into the actions necessary to survive.
Motivated by the efficacy of these processes, researchers aim to forge materials systems that …

In recent years, artificial neural networks have become the flagship algorithm of artificial
intelligence. In these systems, neuron activation functions are static, and computing is …

In spin Hall nano-oscillators (SHNOs), pure spin currents drive local regions of magnetic
films and nanostructures into auto-oscillating precession. If such regions are placed in close …

Emerging wearable and implantable biodevices have been significantly revolutionizing the
diagnosis and treatment of disease. However, the geometrical mismatch between tissues …

Synchronization of large spin Hall nano-oscillator (SHNO) arrays is an appealing approach
toward ultrafast non-conventional computing. However, interfacing to the array, tuning its …

We report on an analog computing system with coupled non-linear oscillators which is
capable of solving complex combinatorial optimization problems using the weighted Ising …

Triboelectric nanogenerators (TENGs) can be applied for the next generation of artificial
intelligent products, where skin-like tactile sensing advances the ability of robotics to feel …

The dynamic behavior of a macroscopic adhered hydrogel stabilized through controllable
dynamic covalent interactions is reported. These interactions, involving the cross‐linked …

From logical reasoning to mental simulation, biological and artificial neural systems possess
an incredible capacity for computation. Such neural computers offer a fundamentally novel …

The exponential growth of the power of modern digital computers is based upon the
miniaturization of vast nanoscale arrays of electronic switches, but this will be eventually …