That moment when you’re nodding off is a sweet spot for creativity
A new study finds people are more creative after waking from the earliest stage of sleep, especially when they are guided to dream about a particular topic.
A new study finds people are more creative after waking from the earliest stage of sleep, especially when they are guided to dream about a particular topic.
A new computational tool empowers decision-makers to target interventions.
With the new method, scientists can explore many cancer mutations whose roles are unknown, helping them develop new drugs that target those mutations.
A new study shows the carbon-capturing phytoplankton colonized the ocean by rafting on particles of chitin.
Political scientist Noah Nathan’s new book, “The Scarce State,” explores the deep impact government can have even when it is seemingly absent.
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.
Citadel founder and CEO Ken Griffin visits MIT, discusses how technology will continue to transform trading and investing.
Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.
The method could enable a rapid test to determine whether individuals are producing antibodies that help protect against Covid-19.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
MIT’s Science Policy Initiative sends students and postdocs to Capitol Hill to advocate for continued and increased federal support for scientific research.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
One of MIT’s five Climate Grand Challenges flagship projects, the Jameel Observatory-CREWSnet project will pilot in Bangladesh and Sudan to help communities adapt to the impacts of climate change.
MIT engineers’ new technique analyzes the 3D organization of the genome at a resolution 100 times higher than before.
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.