Assay determines the percentage of Omicron, other variants in Covid wastewater
Developed by the Singapore-MIT Alliance for Research and Technology, the assay can provide new details about the type of SARS-CoV-2 circulating in a community.
Developed by the Singapore-MIT Alliance for Research and Technology, the assay can provide new details about the type of SARS-CoV-2 circulating in a community.
MIT scientists have discovered a population of neurons that light up whenever we see images of food.
Research reveals cells that span brain hemispheres to coordinate activity in visual processing centers, shows Alzheimer’s degrades their structure and function.
MIT engineers are controlling pore openings for maximum molecule capture.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
Made from inexpensive, abundant materials, an aluminum-sulfur battery could provide low-cost backup storage for renewable energy sources.
Design from the Swager Lab uses electronic polymers, rather than colored lines, to indicate a positive response, enabling quantitative monitoring of biomarkers.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Mary Ellen Zurko pioneered user-centered security in the 1990s. Now she’s using those insights to help the nation thwart influence operations.
A new study estimates potential losses by 2050 amid low-carbon energy transition.
By tracking feedback during tasks, the anterior cingulate cortex notices when a new step has become necessary and signals the motor cortex to adjust.
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
Mathematical modeling speeds up the process of programming bacterial systems to self-assemble into desired 2D shapes.
The materials’ stiffness increases up to 40 percent, in a reversible effect, the researchers report in a study that also explains the phenomenon's atomic origins.
By modeling the conditions of an entire wind farm rather than individual turbines, engineers can squeeze more power out of existing installations.