Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

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.

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 ...

Brain-like AI computers demonstrate strong math capabilities, reshaping hardware design with enhanced energy efficiency and ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

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 ...

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, ...

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

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency ...