Results 81 to 90 of about 1,573 (208)
A deep‐potential metal floating gate integrates electrical programming, optical partial erasure, and synaptic weight modulation in a MoS2/h‐BN/Au transistor. The device provides a 97.6 V memory window, retention beyond 3000 s, endurance over 1600 cycles, and reproducible operation after 200 days of ambient storage.
Shuo Lei +6 more
wiley +1 more source
This work presents trap‐programmable Ruddlesden–Popper perovskite nanocrystals for ultralong‐lived optical memory and photonic synapses. Layer‐controlled octahedral distortion modulates trap depth and carrier‐storage kinetics, enabling persistent luminescence beyond 5000 s at room temperature.
Xuanyu Zhu +12 more
wiley +1 more source
Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin +6 more
wiley +1 more source
A multifunctional vertical bulk‐heterojunction transistor (MVBT) with amorphous GaOx integrates four functionalities within a single neuromorphic device. Gate‐source operation enables 254 nm deep‐ultraviolet sensing and threshold neuronal firing, whereas three‐terminal operation supports broadband UV–vis‐NIR synaptic functions and bias‐controlled ...
Jinkui Si +12 more
wiley +1 more source
A neuromorphic electronic artist for robotic painting
Recent advances in deep learning have sparked interest in AI-generated art, including robot-assisted painting. Traditional painting machines use static images and offline processing without considering the dynamic nature of painting. Neuromorphic cameras,
Lioba Schürmann +4 more
doaj +1 more source
Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley +1 more source
Machine vision systems are crucial in intelligent scenarios, but actual image acquisition is frequently compromised by the inadequate proficiency of photosensors in photoadaptation.
Di Xue +9 more
doaj +1 more source
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Reconfigurable phototransistors featuring bipolar photoresponses are favorable for manipulating high-performance neuromorphic vision sensory. Here, we present a momentum-conserved reconfigurable phototransistor based on the van der Waals heterojunction ...
Lei Xu +12 more
doaj +1 more source

