Sehore, Feb. 17 -- day International Workshop titled "Numerical & Optimization Techniques for Machine Learning in Real-World Applications" from 11th to 13th February 2026, in online mode.
The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...
Georeservoir engineering—including petroleum, geothermal, and CO₂ sequestration systems—plays a pivotal role in advancing global energy production, storage, ...
Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
Abstract: This systematic literature review (SLR) critically examines the published literature since 2012 on the applications of machine learning (ML) in higher education. These applications include ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
Mount Sinai experts to present new analysis on AI models that could predict congenital heart defects and placenta accreta spectrum at the 2026 SMFM Annual Pregnancy Meeting ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...