In 2024, the Army reported that it had invested $50 million in small and nontraditional businesses to develop AI and machine ...
Researchers developed ProtGPS, an AI tool that predicts protein localization in cells and how mutations affect disease. The ...
Eko Health has been advancing the use of artificial intelligence to help providers detect the early signs of disease, ...
ML.NET is a cross-platform open-source machine ... learning models or experience with other programming languages like Python or R. The framework provides data loading from files and databases, ...
The FEA was performed to validate the results predicted by the machine learning models ... practical relevance in engineering applications and their ability to represent a wide range of cutout ...
Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...
Researchers develop a novel methodology called Roughness-CANUPO-Dip-Facet (R-C-D-F), which leverages machine learning to ...
The result is a cutting-edge construction material that not only enhances structural ... machine learning model combining the Extra Trees (ET) technique and the Moth-Flame Optimization (MFO ...
In the quest for stronger, more resilient buildings and infrastructure, engineers are turning to innovative solutions, such as concrete-filled steel tube columns (CFST) strengthened with carbon ...
In the quest for stronger, more resilient buildings and infrastructure, engineers ... a novel hybrid machine learning model capable of accurately predicting the ultimate axial strength of ...