Results 61 to 70 of about 10,751 (237)

Improved hybrid scrubbing scheme for spaceborne static random access memory-based field programmable gate arrays

open access: yesThe Journal of Engineering, 2019
With the shrinking feature sizes of static random access memory-based field programmable gate arrays (FPGAs), the occurrence probability of multiple-cell upsets (MCUs) in FPGAs continues to increase. This reduces the reliability of FPGAs.
Yue Li   +3 more
doaj   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi   +5 more
wiley   +1 more source

Device and circuit performance analysis of double gate junctionless transistors at L(g) = 18 nm

open access: yesThe Journal of Engineering, 2014
The design and characteristics of double-gate (DG) junctionless (JL) devices are compared with the DG inversion-mode (IM) field effect transistors (FETs) at 45 nm technology node with effective channel length of 18 nm. The comparison are performed at iso-
Chitrakant Sahu, Jawar Singh
doaj   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

open access: yesSmall, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong   +9 more
wiley   +1 more source

Powering down technology [PDF]

open access: yes, 2006
This paper will examine the issue of energy consumption resulting from the use of technology. It will identify and evaluate potential solutions currently being deployed by data center managers.
Jacques, Janine
core   +1 more source

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

open access: yes, 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   +17 more
core   +1 more source

A Multi‐Node Wearable Monitoring System for Firefighters With Edge AI and LoRa‐BLE Heterogeneous Communication

open access: yesSafety Science and Technology, EarlyView.
A multinode wearable system tailored for firefighters is presented, featuring LoRa‐BLE heterogeneous communication and edge‐side deep learning. It integrates a lightweight 1D‐CNN for real‐time posture recognition and an adaptive Physiological Strain Index (aPSI) model, ensuring reliable status monitoring and safety warning in complex fireground ...
Chongyuan Ni   +8 more
wiley   +1 more source

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

open access: yesJournal 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   +3 more
doaj  

Organic Thin‐Film Transistors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, Volume 12, Issue 9, 11 May 2026.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy   +2 more
wiley   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy