How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
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.
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
Training artificial neural networks with data from real brains can make computer vision more robust.
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.
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.
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.
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Researchers create a trajectory-planning system that enables drones working together in the same airspace to always choose a safe path forward.