Results 201 to 210 of about 4,143,341 (351)

Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware [PDF]

open access: hybrid, 2019
Alex Zeng Wang   +8 more
openalex   +1 more source

Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture

open access: yesAdvanced Materials, EarlyView.
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim   +6 more
wiley   +1 more source

Steep‐Slope CuInP2S6 Ferroionic Threshold Switching Field‐Effect Transistor for Implementation of Artificial Spiking Neuron

open access: yesAdvanced Materials, EarlyView.
The development of an energy‐efficient and biologically inspired spiking neuron device based on a CuInP2S6 (CIPS) ferroionic threshold switching field‐effect transistor TS‐FET is reported. The device demonstrates essential neuronal behaviors, such as leaky integrate‐and‐fire dynamics, a tunable firing threshold, and spatiotemporal processing, all ...
Sungpyo Baek   +6 more
wiley   +1 more source

Simulation Model for Hardware-in-the-Loop Tests of the ILR-33 AMBER Rocket Control System. [PDF]

open access: yesSensors (Basel)
Cieśliński D   +4 more
europepmc   +1 more source

Extracting high fidelity quantum computer hardware from random systems

open access: green, 2010
Andreas Walther   +6 more
openalex   +2 more sources

Design and Application of Detection Damage Hardware to Your Computer with Certainty Factor

open access: bronze, 2021
Fitri Ayu   +4 more
openalex   +1 more source

Perovskite Microwires for Room Temperature Exciton‐Polariton Neural Network

open access: yesAdvanced Materials, EarlyView.
Exciton‐polaritons are explored as a novel platform for optical neuromorphic computing at room temperature using a monocrystalline perovskite waveguide. Demonstrating non‐equilibrium Bose‐Einstein condensation, this work achieves machine learning tasks such as classification and object detection, marking a key advance toward energy‐efficient, practical
Andrzej Opala   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy