New AI method captures uncertainty in medical images
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
The device, based on simple tetromino shapes, could determine the direction and distance of a radiation source, with fewer detector pixels.
The Institute also ranks second in five subject areas.
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.
Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.
Global Semiconductor Alliance’s Women’s Leadership Initiative provides inspiration and guidance to MIT students.
Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.
FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.
At the MIT Quantum Hackathon, a community tackles quantum computing challenges.
MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.