Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
United States ArmyOpinion

The Algorithmic Battlefield: Forging The U.S. Army’s Future Dominance With A New Breed Of Acquisition Leader

Imagine a world where artificial super intelligence conducts combined arms warfare across all domains of war, using quantum ...
Morning Overview on MSN

Manchester team builds ML models for stable molecular simulations at high heat

Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
Northwestern's McCormick School of Engineering

Strong Northwestern CS Presence at ICLR 2026, ICRA 2026, and NeurIPS 2025

Scheduled in April in Rio de Janeiro, ICLR 2026 focuses on cutting-edge research on deep learning used in the fields of ...
Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Frontiers

Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...
IEEE

Clustering Routing Protocol in WSNs Using a Hybrid of Swarm Intelligence Algorithms and Machine Learning

Abstract: Wireless Sensor Networks (WSNs) deployed in wilderness for natural disaster prevention face challenges due to the limited energy of sensor nodes, which restricts network performance and ...
Frontiers

Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...