Fleets of drones could aid searches for lost hikers
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Machines that learn language more like kids do
Computer model could improve human-machine interaction, provide insight into how children learn language.
Model paves way for faster, more efficient translations of more languages
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Computational science grad students awarded U.S. Department of Energy fellowships
Kaley Brauer, Sarah Greer, William Moses, and Paul Zhang will receive DoE support to fuel research that tackles problems of national importance.
School of Engineering third quarter 2018 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Defending against Spectre and Meltdown attacks
New system breaks up cache memory more efficiently to better protect computer systems against timing attacks.
Exploring the future of learning through virtual and augmented reality
At a recent symposium, MIT Open Learning invited experts to discuss the power of VR and AR tools to drive engagement with education.
Cryptographic protocol enables greater collaboration in drug discovery
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
A step toward personalized, automated smart homes
System that automatically identifies people moving around indoors could enable self-adjusting homes.
Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Detecting fake news at its source
Machine learning system aims to determine if an information outlet is accurate or biased.
Model helps robots navigate more like humans do
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.
3Q: Antonio Torralba on what's next for the Quest for Intelligence
Inaugural director of The Quest discusses what's been accomplished since last spring's launch and what is on the horizon.
A game changer takes on cricket’s statistical problem
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Creating 3-D-printed “motion sculptures” from 2-D videos
CSAIL system could help athletes, dancers, and others better analyze how they move.