A research team has developed a groundbreaking two-dimensional (2D) phase-transition memristor leveraging intrinsic ion migration for ultra-low power consumption and high endurance. Unlike ...

then brought together into an array to speed up artificial neural network computing. “Tremendous progress has been made developing oxide-based memristors as neuromorphic devices, such as ...

and computing devices based on the emergent revolutionary paradigms of quantum computing and neuromorphic computing. In addition, this research includes emergent paradigms that blend computing and ...

Neuromorphic computing aims to mimic the computing power ... in-memory computing (IMC)—but also to develop electronic devices that exploit physical and electronic phenomena capable of ...

by developing a fully analog neuromorphic chip. This chip will incorporate novel active dendritic processing and non-linear synaptic devices for incremental learning, allowing for more efficient and ...

Neuromorphic computing differs from neural engines, which are all digital circuits and widely incorporated into everyday devices such as smartphones. Neuromorphic designs imply analog circuits as ...

While photonic memristors have been found to be promising devices to run algorithms ... research advancements toward a universal neuromorphic vision computing platform, there is still significant ...

energy-efficient artificial vision systems and neuromorphic edge computing applications. The compatibility of these III-V semiconductor devices with existing light detection and ranging (LiDAR ...

As small drones become increasingly capable of performing advanced tasks such as autonomous navigation and object recognition ...

A chance discovery led a team of scientists from Rice University, University of Cambridge and Stanford University to ...