Nature

Neuromorphic Computing and Resistive Memory Devices

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 ...

Antiferromagnetic neuromorphic memory: New spintronic device achieves brain-like memory and processing

A research team led by Prof. Long Shibing from the University of Science and Technology of China (USTC) of the Chinese ...
EurekAlert!

From light sensing to adaptive learning: Reconfigurable memcapacitive devices in neuromorphic computing

Traditional computing systems struggle with dynamic adaptation and suffer from the separation of sensing, processing, and memory functions, leading to high energy consumption and latency. Neuromorphic ...
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Spin-based memory advance brings brain-like computing closer to reality

Researchers at National Taiwan University have developed a new type of spintronic device that mimics how synapses work in the brain—offering a path to more energy-efficient and accurate artificial ...
Security

Neuromorphic Computing: Human Brain-like Function Meets AI

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 ...
techtimes

Neuromorphic Chips and 'Brain‑Like' Computing: How Next‑Gen Chips May Change Phones, Robots, and IoT Devices

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...
Nanowerk

Scientists achieve brain-like memory in nanofluidic devices

Programmable 2D nanochannels mimic both synaptic behaviour and multiple memory types, marking a major advance in neuromorphic computing. (Nanowerk News) Researchers at The University of Manchester’s ...
Nanowerk

Novel memristor device boosts neuromorphic computing

(Nanowerk News) A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it. This device, called a memristor, could serve as the basis ...
Business Wire

The Global Market for Low Power/High Efficiency AI Semiconductors, 2026-2036 - Neuromorphic Computing and In-Memory Architectures Pave the Way for AI Semiconductor Market ...

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 ...
EurekAlert!

Neuromorphic floating-gate memory based on 2D materials

Firstly, a brief introduction was given to commonly used two-dimensional materials, including graphene, transition metal dichalcogenides (TMDC), black phosphorus (BP), and hexagonal boron nitride ...
AZOM

New Devices Combine Molecular Electronics and Neuromorphic Computing

Researchers at the Indian Institute of Science created the device. Their study was recently published in Advanced Materials. Silica is often used in electronics, but for health and environmental ...