Making computer science research more accessible in India
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.
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.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
Study group of medical students in Turkey uses free MIT resources to pursue a PhD-level research agenda.
MIT Visiting Scholar Alfred Spector discusses the power of data science and visualization, as well as his new textbook on the subject.
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.
Researchers have demonstrated directional photon emission, the first step toward extensible quantum interconnects.
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.
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.