AI helps household robots cut planning time in half
PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.
PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.
MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.
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.
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.