Abstract: We propose a new dimension reduction method for matrix-valued data called Matrix Non-linear PCA (MNPCA), which is a non-linear generalization of (2D) ${}^{2}$ PCA. MNPCA is based on ...
Abstract: Visualization is a powerful tool for learning and teaching complex concepts, especially in the field of computer science. However, creating effective and engaging visualizations can be ...
Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...
Google announced a $40 billion investment to expand its Texas footprint with three new AI data centers in the counties of Armstrong and Haskell. The project will make Texas the nation’s largest state ...
Figure 1: Results of the bio-inspired topology. (a) Photograph of a seahorse specimen, (b) deformation schematic of the square exoskeleton of seahorses, (c) topological structure and (d) ...
In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...
The original version of this story appeared in Quanta Magazine. Sometime in the fall of 2021, Andrew Krapivin, an undergraduate at Rutgers University, encountered a paper that would change his life.
Data drawn from Kantar Media’s annual international TGI Global Quick View report, covering 37 countries and more than 80,000 respondents (from 2021 to 2025), reveals that the proportion of adults ...
A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...
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