Custom robots in a matter of minutes
CSAIL’s “Interactive Robogami” lets you design and 3-D print origami-inspired robots from 2-D designs.
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Using machine learning to improve patient care
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.
Demo day showcases serious innovation in “playful” tech
Play Labs startups include virtual pets, nausea-reducing virtual reality games, and augmented-reality paintballing.
High-quality online video with less rebuffering
CSAIL’s machine-learning system enables smoother streaming that can better adapt to different network conditions.
MIT hosts STEM boot camp for veteran students
Warrior-Scholar Project helps vets transition to college with intensive summer program.
New AI algorithm monitors sleep with radio waves
Patients with sleep disorders could be studied nonintrusively at home using wireless signals.
Hybrid drones carry heavier payloads for greater distances
Startup’s gas-electric engines may pave way for package delivery and human flight.
Designing the microstructure of printed objects
Software lets designers exploit the extremely high resolution of 3-D printers.
Automatic image retouching on your phone
System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.
Featured video: A self-driving wheelchair
Autonomous wheelchair developed by researchers at MIT and in Singapore promises improved independence for the disabled.
Maryann Gong earns second-straight Division III Academic All-America of the Year Award
Computer science major is the first Division III student-athlete to earn the honor in back-to-back years and just the second overall in the NCAA.
Reshaping computer-aided design
CSAIL’s InstantCAD allows manufacturers to simulate, optimize CAD designs in real-time.
Coaching platform improves health outcomes, lowers medical costs
New app lets patients work alone or with others to prevent, monitor, and reverse chronic disease.
Artificial intelligence suggests recipes based on food photos
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.