Artificial intelligence and machine learning are increasingly applied in civil engineering to predict material performance and optimize mix design. This study compares three ensemble learning ...
Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
16don MSN
Even weak ocean models can provide valuable information for environmental forecasts, study shows
Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...
MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...
Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...
Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
Nvidia's reported $400 million acquisition of Kumo AI is a bet that the next wave of enterprise AI value will come from business data, not just documents and code.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Wearable accelerometer measures of daytime activity and sleep behaviors may enhance dementia risk prediction models in older adults.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results