A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

Abstract: Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we ...

LayerX found that BioShocking could trick AI browsers into leaking credentials by disguising malicious prompts as game rules. If you can only read one tech story a day, this is it. We use cookies and ...

Abstract: A novel very efficient algorithm based on geometrical optics (GO) is presented for the analysis of graded index (GRIN) lens antennas, namely, dielectric inhomogeneous lenses with a 3-D ...

This repository contains the implementation code for evaluating deep generative models (VAE, GAN, DDPM) on their ability to capture topological features in brain structural connectivity (SC) networks.

Genome-wide association studies have yielded a large number of association signals with robust statistical support, but these are only markers of the true functional variants. Reliable identification ...

After several examples of undisclosed alterations in reagent suppliers’ antibody catalogues surfaced, researchers call for transparency to rebuild trust.

Yang-Hui He is a fellow at the London Institute for Mathematical Sciences in London, UK. Among mathematicians and theoretical physicists, artificial intelligence provokes a range of reactions. Some ...

Our culture still loves the loudest voice in the room.

Topological Data Analysis (TDA) and Topological Machine Learning (TML) comprise a set of powerful techniques whose ability to extract robust geometric information has led to novel insights in the ...

The class of 2026 is graduating into a volatile world made more so by the rapid development of artificial intelligence. Spokane area high school seniors are unsettled by the technology, embracing its ...