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.
Technology demonstrations show the machine’s major components achieve the required performance.
All together, a core group of MIT.nano staffers has more than 400 years of technical experience in nanoscale characterization and fabrication.
Forty-one women were selected as 2023 MIT Graduate Women of Excellence, organized by the MIT Office of Graduate Education.
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
A study inspired by the Japanese paper-cutting art provides a blueprint for designing shape-shifting materials and devices.
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.
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.
Undergraduate research helped feed physics and EECS major Thomas Bergamaschi’s post-MIT interest in tackling challenges.
Undergraduates whose research areas explore discrete math and neural networks honored for their academic achievements.
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.