Results 31 to 40 of about 4,696,608 (299)
Symbolic Noise Analysis Approach to Computational Hardware Optimization [PDF]
This paper addresses the problem of computational error modeling and analysis. Choosing different word-lengths for each functional unit in hardware implementations of numerical algorithms always results in an optimization problem of trading computational
Ahmadi, Arash +3 more
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Recent developments in artificial neural networks and their learning algorithms have enabled new research directions in computer vision, language modeling, and neuroscience. Among various neural network algorithms, spiking neural networks (SNNs) are well-
Sangwoo Hwang +7 more
doaj +1 more source
A Reconfigurable SOM Hardware Accelerator [PDF]
Porrmann M, Franzmeier M, Kalte H, Witkowski U, Rückert U. A Reconfigurable SOM Hardware Accelerator.A dynamically reconfigurable hardware accelerator for self-organizing feature maps is presented.
Witkowski, U. +4 more
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Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
A lightweight hardware implementation of CRYSTALS-Kyber
The security of cryptographic algorithms based on integer factorization and discrete logarithm will be threatened by quantum computers in future. Since December 2016, the National Institute of Standards and Technology (NIST) has begun to solicit post ...
Shiyang He, Hui Li, Fenghua Li, Ruhui Ma
doaj +1 more source
Extension Module for Application-Specific Hardware on the Minirobot Khepera [PDF]
Niemann J-C, Witkowski U, Porrmann M, Rückert U. Extension Module for Application-Specific Hardware on the Minirobot Khepera. In: Autonomous Minirobots for Research and Edutainment (AMiRE 2001).
Porrmann, Mario ; https://orcid.org/ +3 more
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Neural networks hardware-based implementation [PDF]
The paper deals with the problem of implementing hardware based neural networks, describes the examples of activation functions ...
Rusakovich, H. V.
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ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer +28 more
wiley +1 more source
Efficient hardware implementation of the DES [PDF]
Several improvements to realize implementations for DES are discussed. One proves that the initial permutation and the inverse initial permutation can be located at the input, respectively the output of each mode in DES. A realistic design for an exhaustive key search machine is presented.
Frank Hoornaert, Jo Goubert, Yvo Desmedt
openaire +2 more sources
Dynamically reconfigurable hardware for embedded control systems [PDF]
Paiz Gatica CV. Dynamically reconfigurable hardware for embedded control systems. Bielefeld: Universität; 2012.This thesis explores the use of dynamically reconfigurable hardware for the realisation of embedded control systems, using the most well-known ...
Paiz Gatica, Carlos Vladimir
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