Welcome to Noxim, the Network-on-Chip Simulator developed at the University of Catania (Italy). The Noxim simulator is developed using SystemC, a system description language based on C++, and it can be downloaded under GPL license terms. ...
Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip int... Background: Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease...
A low-cost fpga implementation of spiking extreme learning machine with on-chip reward-modulated stdp learning. IEEE Trans Circuits Syst II Express Briefs. 2021;69(3):1657–61. MATH Google Scholar Legenstein R, Chase SM, Schwartz AB, Maass W. A reward-modulated hebbian learning rule can ...
We present a novel approach to refine a system model specified with perfectly synchronous communication onto a Network-on-Chip (NoC) best-effort communication service. It is a top-down procedure with three steps, namely, channel refinement, process refinement,andcommunication mapping. In channel ...
2021-ICLR-Network Pruning That Matters: A Case Study on Retraining Variants 2021-ICLR-ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations 2021-ICLR-A Gradient Flow Framework For Analyzing Network Pruning (Spotlight) 2021-CVPR-Towards Compact CNNs via Collaborative Compression 2021-CVPR...
1b). In an ASBIT protocol, sparse asynchronous binary data in the form of spikes are further encoded with a unique on-chip RF identifier, such as the Gold code, before transmission to a receiver through backscattering. Unlike conventional code-division multiple access, the ASBIT scheme ...
Increased chip computation like GPU units, improvement and development of highly efficient learning algorithms, and cheaper computer hardware are the main reasons for the blooming of machine learning today [2]. Over the years, due to the work of enthusiastic researchers a number of overview articles...
To reduce each node's size and energy requirements, the narrowband radio's off-chip quartz oscillator is replaced by an on-chip LC circuit. However, the center frequency of the LC circuit is random, subject to the statistical variations of the manufacturing process. This means, essentially, ...
Pre-requisites only for Macbook Pro with M1 Pro chip users To install TensorFlow you can follow this tutorial. To install TensorFlow Addons you can follow these steps. For further reading see this issue. Note that this temporary solution works only for macOS versions >= 12.0. Note that thi...
Estimation of variance components ("chip/SNP heritability") partitioned by different SNP functional categories from raw (individual-level) data or summary data. For raw data, HE regression or the REML AI algorithm can be used to estimate variance components when individual-level data are available...