ARTnews on MSN

Refik Anadol to stage monumental AI installation on Smithsonian Castle in DC

Dubbed "Smithsonian Dreams," the new project will see Anadol transform the headquarters of the Institution on the National ...
insider.si.edu

Smithsonian Presents Refik Anadol’s “Smithsonian Dreams,” an Immersive Public Art Experience on the National Mall

The Smithsonian will debut “Smithsonian Dreams,” a large-scale, multisensory public art experience by Refik Anadol, internationally acclaimed media artist and director of Refik Anadol Studio, on the ...
IEEE

Stable Learning for Trustworthy Modeling in Industrial Processes With Small Samples

Abstract: Developing trustworthy models for industrial processes is challenging due to changing operating conditions and limited data. In this work, we present an innovative and effective framework ...
GitHub

GitHub - lmcinnes/umap: Uniform Manifold Approximation and Projection

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...
IEEE

A Curvature-Based Adaptive UMAP for Manifold Learning in Clustering and Classification

Abstract: The Uniform Manifold Approximation and Projection (UMAP) algorithm is a powerful tool for dimensionality reduction, renowned for its ability to preserve both local and global data structures ...
Simply Statistics

Biologists, stop putting UMAP plots in your papers

Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...
GitHub

UMAP Implementation on Single-Cell RNA Sequencing Data

This is a simplified implementation of UMAP (Uniform Manifold Approximation and Projection), programmed from scratch and applied to GEO scRNA-seq data. A project assignment for BINF6250 (Algorithmic ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
PNAS

Diffusive topology preserving manifold distances for single-cell data analysis

Distortions from traditional dimensionality reduction methods obscure relationships in high-dimensional single-cell data, thus impeding biological insights. We introduce DTNE (diffusive topology ...