In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Our eyes can frequently play tricks on us, but scientists have discovered that some artificial intelligence can fall for the ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Yes, that Boolean logic. The one you probably first encountered as a student: True or False, AND, OR, NOT. The kind of rigid, ...

Alonda Hines/ORNL, U.S. Dept. of Energy Sean Turner draws on his international experience and the latest deep learning tools ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

When people are framed as something less than fully human, public empathy and willingness to protect their rights shrink ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Venture capital used to follow patterns you could predict. Investors looked at business models, market size, team experience. Those things still matter obviously but AI changed what happens in pitch ...

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...