Browsing: computing

NdNiO3 array fabricationNdNiO3 thin film (50 nm) was deposited on a 2 inch LaAlO3 (LAO) (100) single-crystal wafer (1 mm thickness) at room…

Organizations across sectors have experienced the wave of cloud adoption, but edge computing may be the next era of the…

The development of scalable, low-power, and high-density resistive memory devices is crucial for next-generation computing architectures, particularly in neuromorphic applications.…

Mennel, L. et al. Ultrafast machine vision with 2D material neural network image sensors. Nature 579, 62–66 (2020).Article  CAS  PubMed …

Researchers have achieved a significant step forward in quantum computing by developing a device that is almost 100 times thinner…

Bio-inspired neuromorphic computing offers a revolutionary approach by replicating brain-like functionalities in next-generation electronics. This study presents two flexible resistive…

Memristors with programmable conductance are considered promising for energy-efficient analog memory and neuromorphic computing in edge AI systems. To improve…

The challenge of running simulation and high-performance workloads efficiently is a constant issue, requiring input from stakeholders including infrastructure teams,…

Quantum computing has long held promise as the next era in information processing, with applications in drug discovery, finance, and…

The age of AI isn’t coming—it’s here, reshaping the way organizations think, operate, and win. At the heart of this…