Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.
Inviting recent postdocs and sabbatical-eligible faculty to pursue their research at MIT, new programs envision eventually supporting 16 Israeli scholars on campus annually.
GMAF’s second international cohort will comprise up to 10 early- to mid-career Palestinian scholars for a two-year pilot fellowship program at MIT.
Corvus Robotics, founded by Mohammed Kabir ’21, is using drones that can navigate in GPS-denied environments to expedite inventory management.
Five MIT faculty and staff, along with five alumni, are honored for electrical engineering and computer science advances.
The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
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.