Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, real-world motion into simple rules you can write down. The work comes ...

This important study provides a detailed analysis of the transcriptional landscape of the mouse hippocampus in the context of various physiological states. The main conclusions have solid support: ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Check the complete syllabus and exam pattern. Get subject-wise topics, PET details, and the selection process for Level-1 ...

Abstract: Convolutional neural networks (CNNs), despite their broad applications, are constrained by high computational and memory requirements. Existing compression techniques often neglect ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

Cytoplasmic dynein is the only microtubule minus end-directed motor in the cytoplasm of most eukaryotic cells and therefore carries out a huge range of functions, including organelle and mRNA ...

This is the official implementation of our paper "OffsetCrust: Variable-Radius Offset Approximation with Power Diagrams." OffsetCrust is a novel framework that efficiently addresses the ...