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Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
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Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
AZoM on MSN6h
Smart Coating Design: Using Machine Learning to Predict Durability
Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...
Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
National Geographic news1d
How artificial intelligence can tackle climate change
One project Monteleoni worked on uses machine learning algorithms to combine the ... it’s to get people who do believe it is real to do more about that,” said Victor Schmidt, a co-author ...
Tech Xplore on MSN10h
Bilinear sequence regression model shows why AI excels at learning from word sequences
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
CRN10h
The 10 Hottest Data Science And Machine Learning Tools Of 2025 (So Far)
The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...
The University of Texas at Arlington3d
Bayesian learning boosts gene research accuracy
BIT framework uses Bayesian hierarchical modeling, which assesses probabilities across multiple layers of evidence rather ...