Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Key opportunities in AI-driven materials discovery include increasing demand for rapid advanced materials development, growth ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Abstract: Predicting gas-bearing zone of deep tight dolomite reservoirs from prestack seismic data is challenging and subject to great uncertainty. Machine learning especially for deep learning (DL) ...

A new AI model called COMPASS uses tumor gene expression data to predict which patients will respond to cancer immunotherapy ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.