Results 61 to 70 of about 17,373 (224)

Data Sanitization of SRAM by Thermal Distortion

, 2021
Thermal distortion of a memory state is demonstrated for data sanitization of static random access memory (SRAM). Data stored in SRAM are believed to be deleted when power is turned off.
Han, Seong-Joo, Yu, Ji-Man, Han, Joon-Kyu, Choi, Yang-Kyu   +3 more
core   +1 more source

M3D-MDA: New scratchpad memory for enhancing GPU performance and energy efficiency

ETRI Journal
Applications in various fields, such as deep learning and scientific computing, naturally exhibit data access patterns along both the row and column dimensions of static random access memory (SRAM).
Cong Thuan Do
doaj   +1 more source

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

Small, 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, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

SRAM precharge system for reducing write power

, 2023
This paper presents the static random access memory (SRAM) precharge system by using an equaliser and a sense circuit. Recent goals of designing SRAM are to reduce area, delay, and power, and to maintain standard data stability and writability.
M Chan (7790741), Hussain Mohammed Dipu Kabir (13067211)   +1 more
core  

Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi, Jiarui Li, Tatsuji Kimura, Hiroaki Nishi   +3 more
wiley   +1 more source

NanoSentry: An Edge‐Deployable Unified Neural Architecture for Multi‐Domain Industrial Prognostics and Health Management

Artificial Intelligence for Engineering, EarlyView.
NanoSentry, a sub‐50 KiB unified architecture for multi‐domain prognostics, matches or outperforms models 4.5× $4.5\times $ larger across turbofan, battery, and bearing benchmarks while reducing end‐of‐life prediction error up to 5.8× $5.8\times $. Physical STM32H7 deployment confirms sub‐3 ms inference and up to 26 KiB peak SRAM without quantisation ...
Naem Azam Chowdhury, Abu Nasek, Khan Prottoy, Md Hamid Borkot Tulla, Jafor Sadik Chowdhury   +4 more
wiley   +1 more source

On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence

Advanced Computing, Volume 1, Issue 1, December 2026.
Memristor crossbar arrays implemented on chip combines memory, computation, and learning. They allow for adapting the neural weights using the incoming sensor data. This architecture reduces data movement leading to low‐latency, energy‐efficient intelligence in edge while being reliability‐aware co‐design across devices, circuits, and algorithms that ...
Alex James
wiley   +1 more source

Minimizing Test Power in SRAM through Reduction of Pre-charge Activity

, 2006
In this paper we analyze the test power of SRAM memories and demonstrate that the full functional pre-charge activity is not necessary during test mode because of the predictable addressing sequence. We exploit this observation in order to minimize power
Girard, Patrick, P. Girard, ROSINGER, P., GIRARD, P., Rosinger, Paul, B.M. Al-Hashimi, Dilillo, Luigi, L. Dilillo, DILILLO, L., Al-Hashimi, Bashir, AL-HASHIMI, B. M., P. Rosinger   +11 more
core   +2 more sources

Suočavanje s krivnjom i sramom

Diacovensia, 2017
Prepoznavati osjećaje koji otežavaju uspostavljanje odnosa s drugima važno je za psihičko i duhovno blagostanje osobe jer kada se upoznamo s njima i postajemo svjesni kako utječu na život, moguće ih je mijenjati radi punijega odnosa s drugima.
Josip Bošnjaković
doaj   +1 more source

Memristor‐Based Neuromorphic Computing for Intelligent Sensing and Edge Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
Memristor‐based neuromorphic computing provides a promising foundation for energy‐efficient edge intelligence by integrating in‐memory computing, brain‐inspired neural networks, and in‐sensor processing. Memristive devices can emulate neurons and synapses, enabling compact crossbar architectures with reduced data movement, low power consumption, and ...
Hanrui Li, Nazek El‐Atab
wiley   +1 more source