Projects advance naval ship design and capabilities
At the annual MIT Ship Design and Technology Symposium, naval construction and engineering students presented their work on real-life naval design projects.
Spotting objects amid clutter
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.
3Q: David Mindell on his vision for human-centered robotics
Engineer and historian discusses how the MIT Schwarzman College of Computing might integrate technical and humanistic research and education.
Autonomous boats can target and latch onto each other
Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.
Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
For better deep neural network vision, just add feedback (loops)
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
NEET welcomes Boeing sponsorship
Collaboration will help MIT students become leaders in autonomous machines.
Driving toward success
Through MIT Professional Education’s Advanced Study Program, Ernie Ho found the tools — and the community — he needed to realize his vision and launch his career.
Designing vehicles that drive, fly — and swim
Senior and Marshall Scholar Crystal Winston pursues her vision of a world where cars aren’t limited to roads.
CEE event showcases multidisciplinary opportunities
Ninth annual Research Speed Dating event fosters intradepartmental collaboration and facilitates discussion of future efforts to solve global issues.
Giving keener “electric eyesight” to autonomous vehicles
On-chip system that detects signals at sub-terahertz wavelengths could help steer driverless cars through fog and dust.
3Q: Hamsa Balakrishnan on reimagining the future of transportation
MIT associate professor of aeronautics and astronautics describes the seamless flow of people, things, and materials.
Engineers program marine robots to take calculated risks
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
AI, the law, and our future
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.