Early identification and prediction of postoperative pulmonary complications (PPCs) are vital for patient management in lung cancer (LC) surgery. However, existing predictive models often lack ...

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

A Portland resident and recent Reed College graduate, was arrested by FBI agents after being linked to a photo published in ...

DeepMind geospatial AI model offers comprehensive view of Earth image data Google has released a new AI model that maps the ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

The system will save time spent on processing satellite data, researchers say — but they hope the tech firm will share more ...

Researchers at the University of Southern California have discovered how the human brain organizes visual memories.

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a new Anthropic study warns.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...