Results 131 to 140 of about 31,162 (171)

IGZO‐Based First Spike Timing Tactile Encoders and Coupling‐Enhanced Transistor Synapses for Efficient Spiking Neural Networks

open access: yesAdvanced Science, EarlyView.
Here, a bioinspired light‐accelerated neuromorphic system that seamlessly links tactile sensing, first‐spike‐timing (FST) encoding, and light–electric synaptic learning. Pressure stimuli trigger FST spikes in dual‐gate PDTFTs, while GaOx/IGZO hetero‐synapses exhibit enhanced memory under optical–electrical co‐activation, enabling spiking neural ...
Dan Cai   +9 more
wiley   +1 more source

An Ultrathin, Cyano‐Functionalized Copolymeric Memristor by iCVD Process for Driving Convolutional Neural Networks of High‐Resolution Images

open access: yesAdvanced Science, EarlyView.
Two‐terminal polymer memristors based on cyano‐functionalized copolymer films are developed via a solvent‐free, initiated chemical vapor deposition (iCVD) process for high‐resolution image classification. Molecularly engineered p(CEA‐co‐DEGDVE) films enable stable, linear, and symmetric conductance modulation, supporting multi‐level weight mapping in ...
Ji In Kim   +10 more
wiley   +1 more source

Artificial intelligence for quantum computing. [PDF]

open access: yesNat Commun
Alexeev Y   +27 more
europepmc   +1 more source

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

open access: yesAdvanced Science, EarlyView.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao   +17 more
wiley   +1 more source

vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

open access: yesAdvanced Science, EarlyView.
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang   +7 more
wiley   +1 more source

Deep Reinforcement Learning-Based Intelligent Water Level Control: From Simulation to Embedded Implementation. [PDF]

open access: yesSensors (Basel)
Cusihuallpa-Huamanttupa K   +6 more
europepmc   +1 more source

Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets

open access: yesAdvanced Science, EarlyView.
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai   +18 more
wiley   +1 more source

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