MIT Lincoln Laboratory wins 10 R&D 100 Awards
Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.
Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.
CSAIL's new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.
The new center will explore how MIT can use virtual reality and artificial intelligence and other technologies to better serve human needs.
MIT AI Ethics Reading Group was founded by students who saw firsthand how technology developed with good intentions could be problematic.
Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good.
Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.
Simple, scalable wireless system uses the RFID tags on billions of products to sense contamination.
A revolutionary educational project in the 1980s put the tools of computation in students’ hands — and foreshadowed even greater changes.
The School of Engineering’s faculty leadership weigh in on what the MIT Stephen A. Schwarzman College of Computing will mean for their students and faculty.
At its annual alumni reception, CEE faculty shared innovative research projects ranging from machine learning to regional impacts of climate change.
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.
Opportunities and new challenges were at the forefront of discussions about the MIT Stephen A. Schwarzman College of Computing.
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
New leadership team named for the Institute's interdisciplinary hub for advanced thinking in the science and engineering of computation.