A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse.

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain ...

A new machine learning approach has enabled researchers to understand the role of neural cells including astrocytes in ...

Chinese Academy of Sciences (CAS), has developed a machine learning (ML) model enhanced with expert knowledge to classify ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

MACHINE learning could reshape how clinicians assess focal bone lesions, offering a more consistent and data-driven ...