Artificial intelligence for augmentation and productivity
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
MIT researchers investigate the causes of health care disparities among underrepresented groups.
A Lincoln Laboratory team visited Hill Air Force Base in Utah to determine how susceptible the latest-generation mobile network is to detection, geolocation, and jamming.
With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.
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.
MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
A new computational method facilitates the dense placement of objects inside a rigid container.
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.