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.
Topic
Electrical engineering and computer science (EECS)
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Improving drug development with a vast map of the immune system
Immunai’s founders were researchers at MIT when they launched their company to help predict how patients will respond to new treatments.
MIT-Mexico Program fosters cross-border collaboration
For two decades, MIT-Mexico has funded student internships and teaching, as well as faculty research collaborations.
QS World University Rankings rates MIT No. 1 in 11 subjects for 2024
The Institute also ranks second in five subject areas.
A faster, better way to prevent an AI chatbot from giving toxic responses
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
For Julie Greenberg, a career of research, mentoring, and advocacy
The longtime academic leader of the Harvard-MIT Program in Health Sciences and Technology reflects on her time spent guiding students at the intersection of medicine and engineering.
Researchers 3D print key components for a point-of-care mass spectrometer
The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.
A new computational technique could make it easier to engineer useful proteins
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI
The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.
Student spotlight: Victory Yinka-Banjo
The junior, who is majoring in computer science and molecular biology, wants to “make it a norm to lift others as I continue to climb.”
New software enables blind and low-vision users to create interactive, accessible charts
Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.
Q&A: How refusal can be an act of design
Doctoral student and recent MAD Design Fellow Jonathan Zong SM ’20 discusses a proposed framework to map how individuals can say “no” to technology misuses.
Large language models use a surprisingly simple mechanism to retrieve some stored knowledge
Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.
Study: Movement disorder ALS and cognitive disorder FTLD show strong molecular overlaps
Single-cell gene expression patterns in the brain, and evidence from follow-up experiments, reveal many shared cellular and molecular similarities that could be targeted for potential treatment.
AI generates high-quality images 30 times faster in a single step
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.