FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
A primary school has been permanently closed after structural engineers found cracking and wall movement around the site.
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
ABSTRACT: The significance of artificial intelligence in contemporary human activities cannot be underestimated. Although the application of this technology in structural engineering is not recent, ...
ABSTRACT: The significance of artificial intelligence in contemporary human activities cannot be underestimated. Although the application of this technology in structural engineering is not recent, ...
The rise of vibe coding—where developers depend heavily on AI to write their code—makes the time before 2010 highly relevant. Back then, the industry was defined by one type of developer: the ...
Sharon Tettegah received funding from the National Science Foundation for this work. Award Abstract # 1826632 Coordinating Curricula and User Preferences to Increase the Participation of Women and ...
Abstract: Artificial Intelligence (AI) and machine learning have a diverse array of applications within the civil engineering sector. These technologies are revolutionising structural engineering by ...
Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...
In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
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