Thomas Mulligan investigates how advanced machine learning algorithms are revolutionizing our ability to detect and map distant worlds orbiting far-off stars. Supreme Court TPS ruling opens hundreds ...

Abstract: Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature ...

Abstract: Scatterplots are well established means of visualizing discrete data values with two data variables as a collection of discrete points. We aim at generalizing the concept of scatterplots to ...

Forescout Technologies Inc., a global cybersecurity leader, today announced the launch of its Post-Quantum Cryptography (PQC) Readiness and Encryption Hygiene Dashboards. The new dashboards are ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Prof Alasdair Rae has crunched data to locate the densest square kilometre in every European country – here are the top 15 ...

We have rounded up the podcasts that go behind the scenes of major exposés, in which reporters dive into the nitty gritty of ...

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 ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...