For four years, NASA’s planet-hunting telescope photographed the light of 2.2 million stars. The data sat in public archives, ...

Abstract: Healthcare operations management faces unprecedented challenges in resource allocation, patient flow optimization, and clinical decision-making under uncertainty. This paper presents a ...

Unlike traditional systems that produce a single output, ML-driven tax planning generates a set of ranked strategies.

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...

Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...

SMILES-2026 brings together two strong schools of thought in artificial intelligence: Skoltech, the Russian university leading by number of publications at A* conferences, and Nanjing University, a ...

Abstract: The geometric configuration of micro-calorimetric flow sensors strongly influences their sensitivity and linear dynamic range. Traditional design workflows often rely on static heuristics or ...

Michael Ingram is a Senior Contributor from the United States of America. Michael has been writing for GameRant since 2021, writing both analytically and fiction for years beforehand. Michael is a ...

ABSTRACT: Glioblastoma multiforme (GBM) remains one of the most aggressive brain malignancies, with a median survival of less than 15 months. This study advances glioblastoma multiforme (GBM) survival ...

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...

The hybrid approach combines machine learning baseline predictions with Monte Carlo uncertainty modeling to generate championship win probabilities and expected final standings. Data Source: All race ...