The demand for high-performance, energy-efficient computing hardware is growing rapidly, particularly in fields such as artificial intelligence and neuromorphic computing. Researchers have now ...

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 ...

A recent review in npj 2D Materials and Applications explores how two-dimensional (2D) materials are shaping the development of neuromorphic and artificial sensory devices. With properties that mimic ...

(Nanowerk Spotlight) Computing systems have made impressive progress, but they still fall short when compared to the human brain’s energy efficiency and adaptability. Biological neurons handle complex ...

The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it's also versatile and delivers results that are just as accurate as conventional digital chips. Neuromorphic computing—a ...

A new technical paper titled “2D materials-based 3D integration for neuromorphic hardware” was published by researchers at Seoul National University and University of Southern California.

Dublin, April 18, 2025 (GLOBE NEWSWIRE) -- The "Neuromorphic Computing Market by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, ...

The market for neuromorphic computing and sensing is experiencing rapid growth driven by increasing demand for energy-efficient AI processing and real-time sensor applications. The market is currently ...