Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

An approximate maximum likelihood (ML) detection algorithm with low complexity for multiple input multiple output (MIMO) systems is proposed in this paper. Firstly, the traditional successive ...

With the increased application of machine learning (ML) algorithms to decision-making processes, the question of fairness of such algorithms came into the focus. Fairness testing aims at checking ...

In this study, we utilized machine learning (ML) algorithms to integrate chest CT results (quantified by a DL system) with clinical symptoms in order to promptly diagnose patients who tested positive ...

Quadrants has released its latest Edge AI Software Startups/SMEs Companies Assessment, 2025, recognizing key players, including both ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

The solar inverter market is experiencing robust expansion, with market valuation projected to reach USD 18.8 billion by 2032, representing a compound annual growth rate of 8.9% during the 2025-2032 ...

OTI Lumionics, a leader in advanced quantum simulations and solutions for next-generation materials discovery, announces the publication of its scientific paper, “Optimization of the Qubit Coupled ...

Building on this insight, they developed an algorithm that significantly streamlines the analysis, detailed in the recent Chemical Science publication. In the study, the team applied the algorithm to ...

To build this model, the researchers employed XGBoost, a high-performance ML algorithm known for its effectiveness in handling structured data. They combined clinical features, immune cell profiles ...