Customizing 3-D printing
Design tool lets novices do in minutes what would take experts in computer-aided design hours.
Self-driving golf carts
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.
Observing invisible vibrations
PhD student Justin Chen magnifies minuscule vibrations in structures to detect damage.
Searching big data faster
Theoretical analysis could expand applications of accelerated searching in biology, other fields.
UAVs learn to fly solo
Nick Roy develops unmanned aerial vehicles that can operate autonomously in constrained spaces and unmapped environments.
“MultiFab” 3-D prints a record 10 materials at once, no assembly required
Printer from Computer Science and Artificial Intelligence Lab uses machine vision and 3-D scanning to self-correct and directly embed components.
Crash-tolerant data storage
Formally verified working file system could lead to computers guaranteed never to lose your data.
Could a pen change how we diagnose brain function?
Team from MIT's Computer Science and Artificial Intelligence Lab detects dementia using AI and a digital pen.
Robots collaborate to deliver meds, supplies, and even drinks
Bots from the MIT Computer Science and Artificial Intelligence Lab work together more effectively in the face of uncertainty.
Shoring up Tor
Researchers mount successful attacks against popular anonymity network — and show how to prevent them.
Consortium including MIT awarded $110M national grant to promote photonics manufacturing
Partnership of government, industry, and academia will pursue integration of optical devices with electronics.
Object recognition for robots
Robots’ maps of their environments can make existing object-recognition algorithms more accurate.
Siting wind farms more quickly, cheaply
New model predicts wind speeds more accurately with three months of data than others do with 12.
Cutting cost and power consumption for big data
New network design exploits cheap, power-efficient flash memory without sacrificing speed.
What buyers want
MIT professors’ choice-modeling software predicts customer preferences for retailers.