MIT researchers develop an AI model that can detect future lung cancer risk
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Gaining real-world industry experience through Break Through Tech AI at MIT
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
Enabling advanced studies in Turkey with MIT OpenCourseWare
Study group of medical students in Turkey uses free MIT resources to pursue a PhD-level research agenda.
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.
New quantum computing architecture could be used to connect large-scale devices
Researchers have demonstrated directional photon emission, the first step toward extensible quantum interconnects.
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 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.
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.
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.
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.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
A simpler path to better computer vision
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.