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Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...
1d
Tech Xplore on MSNNew algorithm enables efficient machine learning with symmetric data structuresIf you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...
A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...
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News-Medical.Net on MSNMachine learning model predicts radiotherapy response in patients with nasopharyngeal carcinomaResearchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...
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Live Science on MSNScientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are madeResearchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...
9d
AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
Four model testing results revealed the XGBoost algorithm performing best (AUROC = 0.895). A tuned version of this model was then used for model prediction validation under the name ‘AutMedAI.’ ...
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