How hard is it to prevent recurring blackouts in Puerto Rico?
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
MIT engineers designed a nanofiltration process that could make aluminum production more efficient while reducing hazardous waste.
MIT physicists develop a predictive formula, based on bacterial communities, that may also apply to other types of ecosystems, including the human GI tract.
New findings illuminate how Prochlorococcus’ nightly “cross-feeding” plays a role in regulating the ocean’s capacity to cycle and store carbon.
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
The fleeting cosmic firework likely emerged from the turbulent magnetosphere around a far-off neutron star.
Stories on tamper-proof ID tags, sound-suppressing silk, and generative AI’s understanding of the world were some of the most popular topics on MIT News.
A new study of the microbiome finds intestinal bacterial interact much less often with viruses that trigger immunity updates than bacteria in the lab.
Philosopher Sam Berstler diagnoses the corrosive effects of not acknowledging troubling truths.
Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.
As part of a high-resolution biosensing device without wires, the antennas could help researchers decode intricate electrical signals sent by cells.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
A small fleet of autonomous surface vessels forms a large sonar array for finding submerged objects.
At a symposium of the Simons Center for the Social Brain, six speakers described a diversity of recently launched studies aimed at improving understanding of the autistic brain.
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.