Mix-and-match kit could enable astronauts to build a menagerie of lunar exploration bots
Robotic parts could be assembled into nimble spider bots for exploring lava tubes or heavy-duty elephant bots for transporting solar panels.
Robotic parts could be assembled into nimble spider bots for exploring lava tubes or heavy-duty elephant bots for transporting solar panels.
Computational chemists design better ways of discovering and designing materials for energy applications.
On March 10 the FDA approved Trofinetide, a drug based on the protein IGF-1. The MIT professor's original research showing that IGF-1 could treat Rett was published in 2009.
By keeping data fresh, the system could help robots inspect buildings or search disaster zones.
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.
MIT chemists show the Australian wildfires widened the ozone hole by 10 percent in 2020.
Developed at SMART, the nondestructive nanosensors could have wide applications in agricultural science.
An MIT-led study reveals a core tension between the impulse to share news and to think about whether it is true.
The second annual student-industry conference was held in-person for the first time.
The MIT senior will pursue graduate studies in earth sciences at Cambridge University.
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
Saverio Cambioni discusses new results revealing the redirected asteroid Dimorphos to be a dust-trailing rubble-pile.
A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.