Improving the workplace of the future
Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.
Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
The prolific MIT author and physicist Alan Lightman examines the working lives, contributions, and idealism of researchers.
The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
Trancik will lead multidisciplinary research center focused on the high-impact, complex, sociotechnical systems that shape our world.
MIT spinout Tissium recently secured FDA marketing authorization of a biopolymer platform for nerve repair.
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
Lincoln Laboratory's 3D microwave imaging technology for detecting concealed threats was integrated into HEXWAVE, commercially developed by Liberty Defense.
The Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.
Associate Professor Benjamin Mangrum’s new book explores how we use comedy to cope with the growth of computer technology in modern life.
From the classroom to expanding research opportunities, students at MIT Music Technology use design to push the frontier of digital instruments and software for human expression and empowerment.
In an analysis of over 160,000 transplant candidates, researchers found that race is linked to how likely an organ offer is to be accepted on behalf of a patient.
MIT Proto Ventures publishes venture studio playbook to catalyze innovation at research institutions.
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.