How to reach a tumbling target in space
Experiments aboard International Space Station demonstrate a potential solution for cleaning up orbital debris and repairing damaged satellites.
Experiments aboard International Space Station demonstrate a potential solution for cleaning up orbital debris and repairing damaged satellites.
Researchers in the Department of Chemistry have developed a groundbreaking new method for transforming alkenes into their different isomers.
A new machine-learning technique could pinpoint potential power grid failures or cascading traffic bottlenecks in real time.
Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
The material could replace rare metals and lead to more economical production of carbon-neutral fuels.
Improvements in the material that converts X-rays into light, for medical or industrial images, could allow a tenfold signal enhancement.
A new strategy for producing a natural compound could also be used to generate variants with even stronger antimicrobial activity.
MIT senior Daniel Zhang aims to provide hope for young patients and support to young students.
State-of-the-art analysis of brain images from nearly 700 children has turned up surprisingly few links between white matter structure and reading ability.
Discovery shows for the first time that multiferroic properties can exist in a two-dimensional material; could lead to more efficient magnetic memory devices.
J-PAL North America publication highlights the promise of sectoral employment programs in combating US wage inequality.
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
MIT neuroscientists have identified a population of neurons in the human brain that respond to singing but not other types of music.
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.