Q&A: Global challenges surrounding the deployment of AI
Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.
Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.
Neuroscience PhD student Fernanda De La Torre uses complex algorithms to investigate philosophical questions about perception and reality.
Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Mayor’s youth employment program brought local high schoolers to MIT this summer.
An interdisciplinary team is developing a mobile health platform that uses AI to detect infection in Cesarean section wounds.
The MIT Schwarzman College of Computing welcomes four new faculty members engaged in research and teaching that address climate risks and other environmental issues.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
The grant will enable pilot-scale water treatment systems to be built and tested using sustainable hydrogel microparticles.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
MIT engineers are controlling pore openings for maximum molecule capture.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.