According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

Abstract: Batch normalization (BN) enhances the training of deep ReLU neural network with a composition of mean centering (centralization) and variance scaling (unitization). Despite the success of BN ...

Abstract: Batch normalization (BN) has proven to be a critical component in speeding up the training of deep spiking neural networks in deep learning. However, conventional BN implementations face ...

ABSTRACT: Convolutional neural networks (CNNs) are widely used in image classification tasks, but their increasing model size and computation make them challenging to implement on embedded systems ...

(Previous attempt: Loudness-Normalization-tauri-app. As the EBU R128 algorithm proved less effective for galgame voice streaming scenarios, I try to directly normalize the loudness of raw galgame ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

This work is an important contribution to the development of a biologically plausible theory of statistical modeling of spiking activity. The authors convincingly implemented the statistical inference ...

See a spike in your DNA–protein interaction quantification results with these guidelines for spike-in normalization. A team of researchers at the University of California San Diego (CA, USA) have ...

Patch Tuesday: Adobe patches 72 security vulnerabilities and warns that Windows and macOS users are at risk of code execution, memory leaks, and denial-of-service attacks. Adobe on Tuesday released ...