Results 121 to 130 of about 717,844 (304)

Hardware-Software Stitching Algorithm in Lightweight Q-Learning System on Chip (SoC) for Shortest Path Optimization

IEEE Access
This paper presents a novel hardware-software co-design approach to accelerate Q-learning algorithms using a RISC-V-based System-on-Chip (SoC) design.
Yahwista Salomo, Infall Syafalni, Nana Sutisna, Trio Adiono   +3 more
doaj   +1 more source

A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems. [PDF]

Sensors (Basel), 2021
Pérez I, Figueroa M.
europepmc   +1 more source

A Variable-Size FFT Hardware Accelerator Based on Matrix Transposition

, 2018
Fast Fourier transform (FFT) is the kernel and the most time-consuming algorithm in the domain of digital signal processing, and the FFT sizes of different applications are very different.
Chen, Xiaowen,, Lu, Zhonghai,, Chen, Shuming,, Lei, Yuanwu,   +3 more
core   +1 more source

Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses

Advanced Materials, EarlyView.
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee, Hyoungwook Cho, Sang Heon Lee, Ohhyun Kwon, Minil Kang, Dong Gyu Lee, Seongwon Lee, Tae Kyung Lee, Gyeong Min Lee, Minseong Um, Sung Su Yoon, Gayoung Ham, Hyojung Cha, Hyungju Ahn, SungWoo Nam, Hyung‐Min Lee, Jae Won Shim   +16 more
wiley   +1 more source

In Situ Formation of a Highly Selective Nickel Single Atom Catalyst for Electrochemical CO2 Reduction to CO

Advanced Materials, EarlyView.
Development of a novel method for synthesizing Ni single atom catalysts for highly selective electrochemical CO2 reduction in situ. This catalyst achieves 100% selectivity for CO and is formed in an industrially relevant cell architecture. Using post‐mortem XRD, STEM, and EDS and operando XAS, the identity of the active site and the mechanism behind ...
Ian Street, Venkata Sai Sriram Mosali, Noah Sandberg, Fengyuan Shi, Deborah Myers, William E. Mustain   +5 more
wiley   +1 more source

iDocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing. [PDF]

J Imaging, 2021
Tekleyohannes MK, Rybalkin V, Ghaffar MM, Varela JA, Wehn N, Dengel A.   +5 more
europepmc   +1 more source

The Hardware Accelerator SFDL/SCL.

Comput. Artif. Intell., 1995
This paper presents a new multiprocessor architecture for modelling and simulation of digital circuits. To speed up the simulation process a special static algorithm for dividing modelled circuit components into equivalent classes (before the simulation starts) has been designed. In components of one class events will never appear at the same time. The
Blatný, J., Bartoněk, D.
openaire   +2 more sources

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark. [PDF]

Front Artif Intell, 2021
Lu A, Peng X, Li W, Jiang H, Yu S.
europepmc   +1 more source

A DIAMOND CO2 LASER-DRIVEN TEST ACCELERATOR

, 2012
[[abstract]]This goal of this project is to demonstrate electron acceleration in a laser-driven accelerator structure in a vacuum. The proposed accelerator is driven by the pulsed CO2 laser and the 75 MeV electron beam at the Accelerator Test Facility ...
Y.C. Huang;A.C. Chiang;Y.Y. Lin
core