A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...

Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through routine imaging, according to research being presented next week at the ...

For more than 30 years, the models that researchers and government agencies use to forecast earthquake aftershocks have remained largely unchanged. While these older models work well with limited data ...

In a recent study published in the American Journal of Roentgenology, researchers developed a deep learning (DL) model to estimate 30.0-day mortality risk among community-acquired pneumonia (CAP) ...

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly accelerates the ...

A new study using advanced deep-learning brain age estimation shows that World Trade Center responders with PTSD exhibit signs of accelerated brain aging.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

The first physical signs of chronic stress have been detected using AI. The state-of-the-art technology was used to assess ...