Results 31 to 40 of about 855 (207)
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Advances on Low Power Designs for SRAM Cell
, 2014 As the development of complex metal oxide semiconductor (CMOS) technology, fast low-power static random access memory (SRAM) has become an important component of many very large scale integration (VLSI) chips.
Rahman, Labonnah Farzana +4 more
core +2 more sources
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Research and Evaluation on SEM-based FPGA Anti-SEU Solution
Yuanzineng kexue jishu, 2022 With the development of aerospace avionics, there is an increasing demand for high performance chips to handle data processing and transmission requirements.
SUN Yifan;BAI Liang;SHUANG Xiaochuan;TIAN Wenbo;YOU Hongjun
doaj
The application of a SRAM chip as a novel neutron detector
Journal of Experimental Nanoscience, 2006 High-density, fast digital devices, like field programmable gate arrays (FPGAs), microcontrollers, and static random access memories (SRAMs), can be produced by nanotechnology. New technologies allow the design of fast and powerful devices; however, the decreasing dimensions create new problems.
D. Makowski +5 more
openaire +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Robust SRAM Design via BIST-Assisted Timing-Tracking(BATT)
, 2012 [[abstract]]A BIST-Assisted Timing-Tracking (BATT) scheme is proposed in this paper to facilitate robust read operation in an SRAM design without sacrificing any circuit performance at all.
Ya-Chun Lai;Shi-Yu Huang
core +1 more source
Applied SciencesAs the area occupied by static random access memory (SRAM) continues to increase in advanced integrated circuits, SRAM yield has become a critical factor that directly constrains chip cost and manufacturing efficiency.
Hailong Li +3 more
doaj +1 more source
Trusted Cameras on Mobile Devices Based on SRAM Physically Unclonable Functions
Sensors, 2018 Nowadays, there is an increasing number of cameras placed on mobile devices connected to the Internet. Since these cameras acquire and process sensitive and vulnerable data in applications such as surveillance or monitoring, security is essential to ...
Rosario Arjona +3 more
doaj +1 more source