Results 61 to 70 of about 10,430 (199)

Privacy Leakages in Approximate Adders

, 2018
Approximate computing has recently emerged as a promising method to meet the low power requirements of digital designs. The erroneous outputs produced in approximate computing can be partially a function of each chip's process variation. We show that, in
Holcomb, Daniel, Keshavarz, Shahrzad
core   +1 more source

An Ecosystem to Develop Multi‐Agent Systems in Real‐World IoT Applications

Software: Practice and Experience, Volume 56, Issue 4, Page 339-356, April 2026.
ABSTRACT Software agents and multi‐agent systems are critical components in the development of distributed autonomous systems, as they exhibit a wide range of “intelligence,” from reactive behaviors to advanced reasoning and planning. Integrating these capabilities into multi‐agent systems enables distributed artificial intelligence, a programming ...
Davide Carnemolla, Fabrizio Messina, Federico Fausto Santoro, Corrado Santoro   +3 more
wiley   +1 more source

Analysis of Magnetic Switching in Magnetically Coupled Dual Free Layers Within Magnetic Tunnel Junctions (MTJ) for STT MRAM

Advanced Electronic Materials, Volume 12, Issue 5, 9 March 2026.
A magnetic tunnel junction (MTJ) with two free layers shows four magnetization reversal phases governed by interlayer magnetic coupling (Jcpl). Phase 2 (sequential reversal) reduces write current (Iw) by 50% for 30‐nm‐diameter MTJs compared to Phase 4 (coherent reversal), while Jcpl also boosts thermal stability.
Shujun Ye, Koichi Nishioka
wiley   +1 more source

An LFSR-based address generator using optimized address partition for low power memory BIST

Journal of Measurement Science and Instrumentation, 2020
Power consumption in test mode is much higher than that in normal mode, which is prone to causing circuit damage and reducing the yield of chips. To reduce the power dissipation efficiently, a modified linear feedback shift register（LFSR） is designed to ...
YU Zhi-guo, LI Qing-qing, FENG Yang, GU Xiao-feng   +3 more
doaj  

Ternary Content‐Addressable Memory Using One Capacitor and One Nanoelectromechanical Memory Switch for Data‐Intensive Applications

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee, Changha Kim, Geun Tae Park, Seung Hun Baek, Myeong Su Shin, Woo Young Choi   +5 more
wiley   +1 more source

A Scalable Correlator Architecture Based on Modular FPGA Hardware, Reuseable Gateware, and Data Packetization

, 2009
A new generation of radio telescopes is achieving unprecedented levels of sensitivity and resolution, as well as increased agility and field-of-view, by employing high-performance digital signal processing hardware to phase and correlate large numbers of
Aaron Parsons, Andrew Siemion, Arash Parsa, Blackman R., Bradley R., Dan Werthimer, David MacMahon, Demorest P., Donald Backer, Heiles C., Henry Chen, Jason Manley, Melvyn Wright, Peter McMahon, Pierre Droz, Terry Filiba, Weinreb S., Yen J. L.   +17 more
core   +1 more source

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

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
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

The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems

, 2018
Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural ...
Manohar, Rajit, Moradi, Saber
core   +1 more source

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, Volume 8, Issue 3, March 2026.
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

TrojanWhisper: Evaluating Pre-Trained LLMs to Detect and Localize Hardware Trojans

IEEE Access
Existing Hardware Trojan (HT) detection methods face critical limitations: logic testing struggles with scalability, side-channel analysis requires golden reference chips, and formal verification suffers from state-space explosion.
Md Omar Faruque, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy   +3 more
doaj   +1 more source