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.
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Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
New fellows are working on health records, robot control, pandemic preparedness, brain injuries, and more.
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.
Exhibit at MIT's Koch Institute attempts to make visible the luminary personalities behind major scientific and engineering advances.
University placements through MISTI aim to contribute to Africa’s growing research ecosystems.
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.
Investigating the solar wind flowing past Earth, the MIT professor has found solitary waves that might arise within fusion devices.
The MIT professor discussed a new nanoengineered platform to investigate strongly correlated and topological physics.
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
Luqiao Liu utilizes a quantum property known as electron spin to build low-power, high-performance computer memories and programmable computer chips.
Seven faculty and alumni are among the winners of the prestigious honors for electrical engineers and computer scientists.
Fifteen MIT students traveled to Washington to speak to representatives from several federal executive agencies.