Artificial reef designed by MIT engineers could protect marine life, reduce storm damage
The sustainable and cost-saving structure could dissipate more than 95 percent of incoming wave energy using a small fraction of the material normally needed.
The sustainable and cost-saving structure could dissipate more than 95 percent of incoming wave energy using a small fraction of the material normally needed.
The behavior of granular materials has been difficult to visualize, but a new method reveals their internal forces in 3D detail.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.
Single-cell gene expression patterns in the brain, and evidence from follow-up experiments, reveal many shared cellular and molecular similarities that could be targeted for potential treatment.
In order to recycle construction materials, keep them close to home, a new study of Amsterdam suggests.
This measure, developed by MIT researchers, reflects direct effects on people’s quality of life — and reveals significant global disparities.
Extractive industries threaten water, glaciers, and livelihoods, but new research offers hope.
An analysis of the 2011 nuclear accident reveals a need for more preparation, training, and protocols for responding to low-probability accidents.
MIT researchers show that using the right metals could alleviate the corrosion problem in these promising new reactor designs.
Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.
Results suggest the clouds of Venus could be hospitable for some forms of life.
Researchers also found that a variant of the protein is not as protective against the bacteria and increases susceptibility to the disease.
FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.
Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.