Need a research hypothesis? Ask AI.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
A small fleet of autonomous surface vessels forms a large sonar array for finding submerged objects.
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.
Junior Katie Spivakovsky describes her path through New Engineering Education Transformation to biomedical research and beyond.
Deborah Liverman, executive director of MIT Career Advising and Professional Development, offers a window into undergraduate and graduate students’ post-graduation paths.
The company has announced that it will build the first grid-scale fusion power plant in Chesterfield County, Virginia.
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.
Sensors developed by SMART researchers are capable of detecting pH changes in plant xylem enable farmers to detect drought stress up to 48 hours before visible physical symptoms manifest.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Ten objects on display in the Koch Institute Public Galleries offer uncommon insights into the people and progress of MIT's cancer research community.
SERC Scholars from around the MIT community examine the electronic hardware waste life cycle and climate justice.
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care.