AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the ...

Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Ghosh, A. and Kole, A. (2023) A Comparative Study of Enhanced Machine Learning Algorithms for Brain Tumor Detection and Classification. Preprints.

To convert these into higher quality images, the scientists trained a machine learning algorithm with images taken of brain slices (ex vivo) derived from the same type of genetically altered mice.