The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
Senior research scientist and her team are designing intelligent systems that could someday transform the way we travel and consume energy.
MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
The findings could redefine the kinds of particles that were abundant in the early universe.
Researchers have created a method to help workers collaborate with artificial intelligence systems.
SMART breakthrough could help develop technologies that can identify materials according to desired properties for specific applications.
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
David Gamarnik has developed a new tool, the overlap gap property, for understanding computational problems that appear intractable.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
Strategy accelerates the best algorithmic solvers for large sets of cities.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.