Responsive design meets responsibility for the planet’s future
Senior Sylas Horowitz tackles engineering projects with a focus on challenges related to clean energy, climate justice, and sustainable development.
Gaining real-world industry experience through Break Through Tech AI at MIT
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
Computers that power self-driving cars could be a huge driver of global carbon emissions
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
Building the self-flying future
For Leon Villegas SM ’08, MBA ’08, a journey of lifelong learning brought him from Mexico to building autonomous air taxis, with a key stop at MIT.
MIT engineers build a battery-free, wireless underwater camera
The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.
Researchers create the first artificial vision system for both land and water
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
A global resource for better transportation systems
The MIT Mobility Initiative welcomes five inaugural industry members to advance safe, clean, and inclusive mobility.
Exploring emerging topics in artificial intelligence policy
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
Researchers release open-source photorealistic simulator for autonomous driving
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
MIT engineers devise a recipe for improving any autonomous robotic system
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
Charting a safe course through a highly uncertain environment
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
Living better with algorithms
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
On the road to cleaner, greener, and faster driving
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
Anticipating others’ behavior on the road
A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.
Driving a human-machine collaboration
In MIT Mobility Forum talk, experts discuss a future for vehicle automation that lets technology and drivers interact.