How aspirations become actions
From Ethiopia to community college to MIT, Mussie Demisse ’21 is on a mission to use his love of learning to solve big problems.
From Ethiopia to community college to MIT, Mussie Demisse ’21 is on a mission to use his love of learning to solve big problems.
MIT student Eeshan Tripathii is working with his sister to engineer an intuitive brain-controlled interface for upper-limb prosthetics.
“This is a really exciting time to be a roboticist who also cares about the environment,” says PhD student Victoria Preston.
Graduate student Ellen Zhong helped biologists and mathematicians reach across departmental lines to address a longstanding problem in electron microscopy.
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
Principal Research Scientist Abhay Ram circles back to his graduate school studies for a new initiative combining classical physics and quantum computing.
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
Algorand uses a unique architecture developed by MIT Professor Silvio Micali to offer a decentralized, secure, and scalable blockchain.
Model could help predictive virtual models become standard practice in engineering.
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
Visualization software and hardware could offer new possibilities for coaching and sports training.
Society for Industrial and Applied Mathematics recognizes Kepner, a pivotal member of the team that established Lincoln Laboratory's Supercomputing Center, for his innovative work in computing.
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.