AI calculations on Mac cluster get big boosts from new RDMA support on Thunderbolt 5

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...
The Guardian Nigeria

Engineer Urinrinoghene Omughelli tackles persistent cloud security, reliability challenges using independently developed predictive AI frameworks

Urinrinoghene Lauretta Omughelli, a Nigerian cloud infrastructure and artificial intelligence (AI) systems engineer, is ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Canadian Mining Journal

Montero advances AI innovation in mineral exploration

Bridging the gap between algorithms and field exploration Montero Mining and Exploration integrated data from its Chilean ...
AZoRobotics on MSN

The AI Model That Outsmarted Traditional Pollution Studies

New research reveals Kraków's air quality is impacted by nearby emissions, urging AI-driven, equitable regional solutions for ...
ahajournals.org

Abstract 4361575: Phenotyping Cardiogenic Shock Using Unsupervised Machine Learning: A Nationwide Cluster Analysis from National Inpatient Sample

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...
Frontiers

The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
IEEE

An Unsupervised Machine Learning to Optimize Hybrid Quantum Noise Clusters for Gaussian Quantum Channel

Abstract: Quantum communication systems are essential for secure information transmission, but their performance is significantly impeded by complex hybrid quantum noise (HQN) in Gaussian quantum ...