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Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...
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Researchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
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Scientists develop dynamic landslide prediction method using hydrological and machine learning data
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...
Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...
Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Advanced machine learning model, promises faster and more accurate estimation of wear-and-tear in industrial systems ...
Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.
Diffuse correlation spectroscopy and a machine learning algorithm can provide continuous blood pressure feedback, enabling ...
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