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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, ...
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
Machine learning algorithms have become increasingly common and have affect many aspects of our life. However, because the objective of most of the standard, off-the-shelf machine learning algorithms ...
Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...
The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...
This study illustrates the effectiveness of ML algorithms in precisely estimating IR drop and optimizing ASIC sign-off. Utilizing ML models leads to expedited predictions, reducing calculation time ...
Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN) announced today that the International Bureau of the World Intellectual Property Organization (WIPO) has published its international ...
shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...
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