Tag: neuromorphic computing

Researchers have created a flexible memristor based on hexagonal boron nitride whose synaptic strength is programmed directly by bending, mimicking ...

Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, and ...

A bibliometric analysis of nearly 10,000 publications shows that AI-driven biomimetics is thriving in robotics and computing while energy applications ...

Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical gradients, achieving ...

Fraunhofer IAF will showcase its new AI-driven chip design initiatives in Heilbronn and its sovereign III-V semiconductor pilot lines at ...

Researchers have printed a flexible artificial synapse from room-temperature liquid inks that switches in 26 nanoseconds, recognizes handwritten digits with ...

A chemically doped two-dimensional tungsten diselenide synapse that senses light, stores memory and powers a 92 percent accurate neural network ...

Scientists have designed a nanoscale plasmonic memory that stores bits permanently using light-switched phase-change material and could serve as a ...

Researchers highlight reconfigurable transistor hardware that filters task-relevant visual inputs before computation, cutting wasted activations in neuromorphic AI systems.

Researchers have built a reconfigurable computing architecture in which molybdenum disulfide dual-gate transistors with ferroelectric gating act as both spiking ...