Artificial intelligence predicts patients’ race from their medical images
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
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Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
Faculty members Angela Belcher, Pablo Jarillo-Herrero, and Ronitt Rubinfeld elected by peers for outstanding contributions to research.
Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.
Have a question about numerical differential equations? Odds are this CSAIL research affiliate has already addressed it.
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Prestigious honor society announces more than 250 new members.
PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.