World Wide Web Consortium is now a public-interest nonprofit organization
Growing from a strong foundation built at MIT CSAIL and other academic hosts, W3C will continue its mission of developing standards for an open and equitable web.
Growing from a strong foundation built at MIT CSAIL and other academic hosts, W3C will continue its mission of developing standards for an open and equitable web.
Six distinguished scientists with ties to MIT were recognized for significant contributions to computing systems.
Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Stefanie Jegelka seeks to understand how machine-learning models behave, to help researchers build more robust models for applications in biology, computer vision, optimization, and more.
The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
Seven faculty and alumni are among the winners of the prestigious honors for electrical engineers and computer scientists.
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
With the selection of 16 inaugural postdocs, the program seeks to develop the next generation of faculty leaders and help guide the school toward a more diverse and inclusive culture.
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.