Large language models use a surprisingly simple mechanism to retrieve some stored knowledge
Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.
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.
This measure, developed by MIT researchers, reflects direct effects on people’s quality of life — and reveals significant global disparities.
An analysis of the 2011 nuclear accident reveals a need for more preparation, training, and protocols for responding to low-probability accidents.
Financial aid increased, more than offsetting a 3.75 percent increase in tuition.
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.
By blending mechanical engineering, creative writing, and history studies, senior Amber Velez is discovering new ways of addressing climate change.
While working to nurture scientific talent in his native Nigeria, Assistant Professor Ericmoore Jossou is setting his sights on using materials science and computation to design robust nuclear components.
Results suggest the clouds of Venus could be hospitable for some forms of life.
Professors Adam Martin and Joel Volman explain the genesis, scope, and objectives of the recently launched Task Force on the MIT Undergraduate Academic Program.
Researchers also found that a variant of the protein is not as protective against the bacteria and increases susceptibility to the disease.
Associate Professor Jeehwan Kim is exploring systems that could take over where silicon leaves off.
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.