Using artificial intelligence to find anomalies hiding in massive datasets
A new machine-learning technique could pinpoint potential power grid failures or cascading traffic bottlenecks in real time.
Tuning in to invisible waves on the JET tokamak
Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.
Deep-learning technique predicts clinical treatment outcomes
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
A new, inexpensive catalyst speeds the production of oxygen from water
The material could replace rare metals and lead to more economical production of carbon-neutral fuels.
More sensitive X-ray imaging
Improvements in the material that converts X-rays into light, for medical or industrial images, could allow a tenfold signal enhancement.
Chemical synthesis yields potential antibiotic
A new strategy for producing a natural compound could also be used to generate variants with even stronger antimicrobial activity.
Mentorship and medicine
MIT senior Daniel Zhang aims to provide hope for young patients and support to young students.
Assessing connections in the brain’s reading network
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.
Physicists observe an exotic “multiferroic” state in an atomically thin material
Discovery shows for the first time that multiferroic properties can exist in a two-dimensional material; could lead to more efficient magnetic memory devices.
How sectoral employment training can advance economic mobility for workers who face barriers to employment
J-PAL North America publication highlights the promise of sectoral employment programs in combating US wage inequality.
A security technique to fool would-be cyber attackers
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
Singing in the brain
MIT neuroscientists have identified a population of neurons in the human brain that respond to singing but not other types of music.
Can machine-learning models overcome biased datasets?
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.
A “hot Jupiter’s” dark side is revealed in detail for first time
The planet’s night side likely hosts iron clouds, titanium rain, and winds that dwarf Earth’s jetstream.
A revolution in learning
Historian Tanalís Padilla’s new book about activist rural schools in Mexico highlights long-running tensions in the nation’s politics.