Q&A: A fresh look at data science
MIT Visiting Scholar Alfred Spector discusses the power of data science and visualization, as well as his new textbook on the subject.
Unpacking the “black box” to build better AI models
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.
Simulating discrimination in virtual reality
The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.
This is your brain. This is your brain on code
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
MIT’s top research stories of 2022
Popular stories this year covered the detection of radio signals from space, a new battery design, immigrants’ entrepreneurial activity, and more.
MIT community members win 2023 IEEE medals and awards
Seven faculty and alumni are among the winners of the prestigious honors for electrical engineers and computer scientists.
Subtle biases in AI can influence emergency decisions
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
Tomás Palacios named new director of the Microsystems Technology Laboratories
Palacios has served as director of the 6-A MEng Thesis Program, industry officer, and professor of electrical engineering.
Machine learning and the arts: A creative continuum
CAST Visiting Artist Andreas Refsgaard engages the MIT community in the ethics and play of creative coding.
Computational system streamlines the design of fluidic devices
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
Paper-thin solar cell can turn any surface into a power source
Researchers develop a scalable fabrication technique to produce ultrathin, lightweight solar cells that can be seamlessly added to any surface.
An automated way to assemble thousands of objects
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
A faster way to preserve privacy online
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.
Large language models help decipher clinical notes
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Ushering in a new era of computing
Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.