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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AI models are powerful, but are they biologically plausible?
A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.
AI model can help determine where a patient’s cancer arose
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.
Using AI to protect against AI image manipulation
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
A wearable ultrasound scanner could detect breast cancer earlier
The new device, which can be incorporated into a bra, could allow more frequent monitoring of patients at high risk for breast cancer.
New quantum magnet unleashes electronics potential
Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.
A new dataset of Arctic images will spur artificial intelligence research
The dataset, being collected as part of a US Coast Guard science mission, will be released open source to help advance naval mission planning and climate change studies.
A faster way to teach a robot
A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.
AI helps household robots cut planning time in half
PIGINet leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.
Study finds ChatGPT boosts worker productivity for some writing tasks
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
Making sense of all things data
Abel Sanchez helps industries and executives shift their operations in order to make sense of their data and use it to help their bottom lines.
How an “AI-tocracy” emerges
In China, the use of AI-driven facial recognition helps the regime repress dissent while enhancing the technology, researchers report.
Generative AI imagines new protein structures
“FrameDiff” is a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Statistics, operations research, and better algorithms
MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
Learning the language of molecules to predict their properties
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.