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4 algorithms we borrowed from nature

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...
IEEE

Imbalanced Data Problem in Machine Learning: A Review

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
EurekAlert!

Multimodal imaging-based cerebral blood flow prediction model development in simulated microgravity

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
STAT

NIH plans to slash support for indirect research costs, sending shockwaves through science

Jonathan Wosen is STAT’s West Coast biotech & life sciences reporter. You can reach Jonathan on Signal at jwosen.27. Megan Molteni reports on discoveries from the frontiers of genomic medicine, ...
IEEE

Performance Analysis of Support Vector Machine (SVM) Model Through Parameter Optimization with Genetic Algorithm (GA) in Chronic Kidney Disease Classification

Abstract: This study uses hyperparameter optimization to improve accuracy in classifying CKD or chronic kidney disease with the use of a Support Vector Machine algorithm or SVM. SVM is combined with ...
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How one algorithm transformed science, math, and computing

In a world run by computers, there is one algorithm that stands above all the rest. It powers search engines, encrypts your data, guides rockets, runs simulations, and makes the modern digital ...