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.
Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.
“FrameDiff” is a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
Through her organization, Sprouting, Taylor Baum is empowering teachers to teach coding and computer science in their classrooms and communities.
MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.