eLife

Subtle methodological variations substantially impact correlation test results in ecological time series

This study presents a valuable in-depth comparison of statistical methods for the analysis of ecological time series data, and shows that different analyses can generate different conclusions, ...
Design And Reuse

Ceva Advancing Real-Time AI with Transformers and Intelligent Quantization

In an earlier collaborative project, Ceva worked with CERN on the trigger system of the Large Hadron Collider (LHC), a sophisticated real-time filtering mechanism that deals with the torrent of ...

Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
IEEE

MORE-Stress: Model Order Reduction based Efficient Numerical Algorithm for Thermal Stress Simulation of TSV Arrays in 2.5D/3D IC

Abstract: Thermomechanical stress induced by through-silicon vias (TSVs) plays an important role in the performance and reliability analysis of 2.5D/3D ICs. While the finite element method (FEM) ...
Frontiers

SMCFO: a novel cuttlefish optimization algorithm enhanced by simplex method for data clustering

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...
IEEE

Diophantine Equation and the Euclidean Algorithm: Methods and Philosophy of the Algebraic Approach to Linear Multivariable Control [Lecture Notes]

Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...