The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
All together, a core group of MIT.nano staffers has more than 400 years of technical experience in nanoscale characterization and fabrication.
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.
Community members provide unique views of MIT’s graduation ceremonies through Instagram, Twitter, and Facebook.
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.
The current MEng student is one of 175 students nationwide honored for nonpartisan democratic engagement work.
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
Violence Prevention and Response and the Institute Discrimination and Harassment Response Office celebrate students and employees for their efforts in combating sexual misconduct.
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.