Abstract: In this study, representative motion profiles are analyzed to explain why smoother movement can enable a system to be silent, accurate, and reliable. Previous studies have indicated that ...

Abstract: This paper presents a statistical assessment of scattered field from a building facade having random physical and geometrical parameters. A simple inhomogeneous model is considered for the ...

Intel:registered: HE Acceleration Library is an open-source library which provides efficient implementations of integer arithmetic on Galois fields. Such arithmetic is prevalent in cryptography, ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

For the high-order Taylor expansion of neural networks, we provide two implementations, HOPE and Autograd. Users can conveniently compute high-order derivatives of neural networks and obtain Taylor ...

Stroke is increasingly understood as a network disorder with symptoms often arising from disruption of white matter connectivity. Previous connectome-based lesion-symptom mapping studies revealed that ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...

Journal of Nuclear Medicine June 2024, jnumed.124.267434; DOI: https://doi.org/10.2967/jnumed.124.267434 These aggregative approaches raise an interesting question ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...