A universal system for decoding any type of data sent across a network
New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.
Q&A: Dina Katabi on a “smart” home with actual intelligence
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
Using adversarial attacks to refine molecular energy predictions
MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.
Who can bend light for cheaper internet?
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
Last-mile routing research challenge awards $175,000 to three winning teams
Competing research teams trained machine learning models to predict optimal routing based on real field datasets.
System trains drones to fly around obstacles at high speeds
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Geologists take Earth’s inner temperature using erupted sea glass
The results could help scientists unravel the processes underlying plate tectonics.
Lincoln Laboratory convenes top network scientists for Graph Exploitation Symposium
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.
Making it through a pandemic senior year with curiosity and community
Miles Johnson ’21, a recent graduate in mathematics and EECS, employed a strong dorm network and personal interests including rock climbing and jazz to complete a rich MIT experience.
Contact-aware robot design
A novel method to represent robotic manipulators helps optimize complex and organic shapes for future machines.
Getting dressed with help from robots
A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.
Restoring amputees’ natural functionality with brain-controlled interfaces
MIT student Eeshan Tripathii is working with his sister to engineer an intuitive brain-controlled interface for upper-limb prosthetics.
US Air Force pilots get an artificial intelligence assist with scheduling aircrews
An optimization tool from the Department of Air Force–MIT AI Accelerator is transforming the laborious process of staffing C-17 cargo flights.
Designing exploratory robots that collect data for marine scientists
“This is a really exciting time to be a roboticist who also cares about the environment,” says PhD student Victoria Preston.