The Nation Newspaper

Deploying mathematical models for decision-making in uncertainty

Mathematics is deemed to be beyond figures. It is described as the foundation of resilience in society.

Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
The Daily Pennsylvanian

Penn Engineering researchers develop mathematical ‘Rosetta Stone’ to predict molecular movements

The technology could potentially cut down on the costs of time-consuming simulations and experiments and make it easier to ...
IEEE

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

Abstract: Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, ...
IEEE

Cell-Wise Self-Optimization: Making Pretrained Model Better in Remote Sensing Counting

Abstract: Recently, remote sensing counting has drawn a lot of attention due to its wide application requirements. However, most existing approaches tend to focus on optimizing the network backend or ...
Wall Street Journal

The Numbers Six and Seven Are Making Life Hell for Math Teachers

The meme exploded into youth culture with a video of a boy who delivers a giddy “six seven” at a basketball game. CAM WILDER The name of this fall’s most obnoxious classmate: Six Seven. Math teacher ...
Benzinga.com

Applied Materials Unveils Next-Gen Chipmaking Systems, Aims To Boost AI Logic And Memory Performance

Applied Materials (NASDAQ:AMAT) unveiled a suite of advanced semiconductor manufacturing systems to enhance the performance and efficiency of logic and memory chips that power artificial intelligence ...