Merging AI and underwater photography to reveal hidden ocean worlds
The LOBSTgER research initiative at MIT Sea Grant explores how generative AI can expand scientific storytelling by building on field-based photographic data.
The LOBSTgER research initiative at MIT Sea Grant explores how generative AI can expand scientific storytelling by building on field-based photographic data.
The alumni-founded startup Nominal has built a platform for building and testing complex systems like fighter jets, nuclear reactors, rockets, and robots.
MIT Proto Ventures publishes venture studio playbook to catalyze innovation at research institutions.
Rising seniors Avani Ahuja, Julianna Lian, Jacqueline Prawira, and Alex Tang are honored for their academic achievements.
Eleven faculty members have been granted tenure in six units across MIT’s School of Engineering.
Mission Innovation x creates education and research opportunities while facilitating connections between defense agencies and MIT innovators.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Watery fluid between cells plays a major role, offering new insights into how organs and tissues adapt to aging, diabetes, cancer, and more.
Working with the Massachusetts Department of Transportation, researchers show bridge corrosion can be repaired on-site using additive manufacturing.
Ranking at the top for the 14th year in a row, the Institute also places first in 11 subject areas.
By delivering an HIV vaccine candidate along with two adjuvants, researchers showed they could generate many more HIV-targeting B cells in mice.
The low-cost, scalable technology can seamlessly integrate high-speed gallium nitride transistors onto a standard silicon chip.
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Composed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.