A new way to look at data privacy
Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.
Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.
A pilot-scale system, enabled by an $82 million award from the FDA, aims to accelerate the development and production of mRNA technologies.
“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.
Evan Kramer’s latest foray into urban astrophotography puts the focus on his fellow researchers.
Prestigious awards recognize community support of MIT’s goals, values, and mission.
The aerospace engineer, mentor, and author talks motivation and representation with MIT Libraries staff.
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.
PhD student Will Sussman studies wireless networks while fostering community networks.
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.
With a minor in literature and environmental sustainability, the biology alumna considers perspectives from Charles Darwin to Annie Dillard.
A new technique produces perovskite nanocrystals right where they’re needed, so the exceedingly delicate materials can be integrated into nanoscale devices.
A new computational method facilitates the dense placement of objects inside a rigid container.
A longtime beloved MIT faculty member, Thornton was an adventurer who advocated exploration in all aspects of life.