New method uses crowdsourced feedback to help train robots
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
Celebrating five years of MIT.nano
The Nano Summit highlights nanoscale research across multiple disciplines at MIT.
Judy Hoyt, a pioneer in semiconductor research, is remembered.
Professor Judy Hoyt, a pioneer in semiconductor research, passed away on August 6, 2023.
Rewarding excellence in open data
MIT researchers who share their data recognized at second annual awards celebration.
Computational imaging researcher attended a lecture, found her career
A pivotal talk led postdoc Kristina Monakhova to develop smart, computational cameras and microscopes for intelligent systems.
Student Spotlight: Isabella Pedraza Piñeros
Our first subject, Isabella Pedraza Piñeros, is a first-year MEng student in the Department of EECS; she graduated with her degree in Computer Science and Engineering in the spring of 2023.
Accelerating AI tasks while preserving data security
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
Forging climate connections across the Institute
Inaugural Fast Forward Faculty Fund grants aim to spur new work on climate change and deepen collaboration at MIT.
Using language to give robots a better grasp of an open-ended world
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Complimentary approaches — “HighLight” and “Tailors and Swiftiles” — could boost the performance of demanding machine-learning tasks.