New method could increase LLM training efficiency
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
Research from the MIT Center for Constructive Communication finds leading AI models perform worse for users with lower English proficiency, less formal education, and non-US origins.
A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.
MIT Sports Lab researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.
Munip Utama applies knowledge from the MITx MicroMasters Program in Data, Economics, and Design of Policy to his efforts supporting students in Indonesia.
Founded by two MIT alumni, Samsara’s platform gives companies a central hub to learn from their workers, equipment, and other infrastructure.
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.
A new book providing a roadmap for blending innovation with tradition among shrinking towns blossomed from a practicum in the MIT Department of Urban Studies and Planning.
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making.
The technique can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.
A new atlas charts the diversity of an influential cell type in the brains of mice and marmosets.
Using a versatile problem-solving framework, researchers show how early relapse in lymphoma patients influences their chance for survival.