Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Leaders who change cultures, who retain talent, who build loyalty, they can look at another human being and diagnose where that person is in their arc.

The Ashley Sisters become the first female artists to solely write and produce their own charting single on the ...

Abstract: In recent years, deep learning has revolutionized fields such as computer vision, speech recognition, and natural language processing, primarily through techniques applied to data in ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.

Welcome to Stationery Week on the Strategist, where we’ve been obsessively researching and testing office supplies — everything from pens, pencils, and paper to task chairs. For more, head to our ...

This repository contains the LaTeX source, figures, and compiled PDF for Paper I of the AIΩN Foundations Series. The paper introduces WARP graphs (Worldline Algebra for Recursive Provenance) — a ...

When the scheduler is a total function of state, these ingredients compose into deterministic worldlines: the ℕ-indexed sequence of committed tick transitions. This repository contains the Paper II ...

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...