The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Keysight Technologies has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite.
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, ...
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