How machine learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health-care disparities among underrepresented groups.
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MIT researchers investigate the causes of health-care disparities among underrepresented groups.
A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.
Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to…
From cameras to self-driving cars, many of today’s technologies depend on artificial intelligence to extract meaning from visual information. Today’s AI technology has artificial neural networks at its core, and…
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.