Whether speaking Turkish or Norwegian, the brain’s language network looks the same
Studying speakers of 45 languages, neuroscientists found similar patterns of brain activation and language selectivity.
Studying speakers of 45 languages, neuroscientists found similar patterns of brain activation and language selectivity.
Large study of existing research shows incremental improvement in patient outcomes and productivity, without big employment changes.
This family of crystalline compounds is at the forefront of research seeking alternatives to silicon.
New results from researchers at MIT reveal an unexpected feature of atomic nuclei when a “magic” number of neutrons is reached.
A new technique could improve the precision of atomic clocks and of quantum sensors for detecting dark matter or gravitational waves.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
With particles that release their payloads at different times, one injection could provide multiple vaccine doses.
Their swirling, clustering behavior might someday inform the design of self-assembling robotic swarms.
The clear and periodic pattern of fast radio bursts may originate from a distant neutron star.
Program supports family caregivers with dedicated service coordinators based on learning from MIT's AgeLab.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Systems used in many industries could save energy through these new surface treatments.
Failing to consider neighborhood texture in hurricane-related wind loss models may undervalue stronger construction by over 80 percent.
Researchers created Exo for writing high-performance code on hardware accelerators.
The findings could inform the design of practical superconducting devices.