Results 241 to 250 of about 72,784 (298)

Memristor Emulator Circuits: Recent Advances in Design Methodologies, Healthcare Applications, and Future Prospects. [PDF]

Micromachines (Basel)
Neifar A, Barraj I, Mestiri H, Masmoudi M.   +3 more
europepmc   +1 more source

Accurate power analysis of integrated CMOS circuits on gate level [PDF]

, 2001
D. Rabe
openalex  

Highly-integrated CMOS interface circuits for SiPM-based PET imaging systems

, 2012
Samrat Dey, T.K. Lewellen, Robert S. Miyaoka, Jacques C. Rudell   +3 more
openalex   +2 more sources

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

Advanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Recent advances in monolithic-integrated lead-based optoelectronic devices. [PDF]

Front Optoelectron
Xu S, Luo J, Song H, Tang J.
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Silicon-on-Silica Microring Resonators for High-Quality, High-Contrast, High-Speed All-Optical Logic Gates. [PDF]

Nanomaterials (Basel)
Kotb A, Hatziefremidis A, Zoiros KE.
europepmc   +1 more source

CMOS integrated circuits for microelectrode arrays and design of experimental setups

, 2016
Amir Shadmani
openalex   +2 more sources

Hybrid Convolutional Neural Network‐Analytical Model for Prediction of Line Edge Roughness‐Induced Performance Variations in Fin‐Shaped Field‐Effect Transistor Devices and SRAM

Advanced Intelligent Systems, EarlyView.
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim, Myongjin Kim, Changwoo Han, Hyoung Won Baac, Changhwan Shin   +4 more
wiley   +1 more source

Integrated lithium niobate photonic devices for photonic quantum information science. [PDF]

Nano Converg
Kim C, Kim H, Moon S, Jung H, Kwon H.
europepmc   +1 more source