This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

BANGALORE, India, Jan. 28, 2026 /PRNewswire/ -- According to Valuates Reports, In 2024, the global market size of Neuromorphic AI Semiconductor was estimated to be worth USD 30.5 Million and is ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

This review first revisits the theoretical background and developmental history of neuromorphic computing. It then briefly introduces the working mechanisms of memristive devices and how they can ...

The first GRAIN device that Frontgrade Gaisler will premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from BrainChip, the world’s first commercial producer of ultra-low power, fully ...

Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing.

A recent study published in npj 2D Materials and Applications explores hexagonal boron nitride (h-BN) atomristors, highlighting their notable memory window, low leakage current, and minimal power ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...

A human’s way of processing information can be used as a model to train next-generation artificial intelligence (AI) systems, according to research published Jan. 22 in Nature. Cory Merkel, an ...