Abstract: Reservoir computing is a machine learning paradigm with lower training costs that replaces traditional recurrent neural networks in some time series processing areas to simplify complexity.

Some people collect stamps. Others prefer art. And since you've clicked on this link, we're guessing you enjoy gathering interesting facts. A connoisseur of curiosity, a hoarder of trivia and perhaps ...

The introduction of dynamic arrays triggered the biggest change to how we work with Microsoft Excel formulas in years, if not decades. They allow a single formula to spill multiple results into ...

Abstract: This paper focuses on developing a reliable physical layer authentication (PLA) scheme in an millimeter wave (mmWave) communication system. To this end, we first derive the statistical ...

We currently generate random array data with numpy which means we cannot test for cases where numpy is not present. We want a random array generator depending only on pyarrow and Python standard ...

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

Whether it’s a game of D&D or encrypting top-secret information, a wide array of methods are available for generating the needed random numbers with high enough entropy for their use case. For a ...

Ben is a writer for Game Rant. He has a passion for gaming and has been playing video games since he was 6. Ben has always been a fan of open-world games, having gotten into them back when RuneScape ...

Schematic illustration of long-range interaction between metal nanoparticles and target molecules. Credit: Takeo Minamikawa, Reiko Sakaguchi, Yoshinori Harada, Hiroki Tanioka, Sota Inoue, Hideharu ...