Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...