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.
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Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.
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.
Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.
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.
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.
While working to nurture scientific talent in his native Nigeria, Assistant Professor Ericmoore Jossou is setting his sights on using materials science and computation to design robust nuclear components.
Professors Adam Martin and Joel Volman explain the genesis, scope, and objectives of the recently launched Task Force on the MIT Undergraduate Academic Program.
FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.
Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.
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.
Moved by the human devastation and scientific conundrum of Alzheimer’s, William Li seeks to work on therapies for the disease.
Professors Berggren, Campbell, Pollock, and Vaikuntanathan are honored for exceptional undergraduate teaching.
A new algorithm reduces travel time by identifying shortcuts a robot could take on the way to its destination.
By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.