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.
Youssef Marzouk and Nicolas Hadjiconstantinou to direct the Center for Computational Engineering
New leadership team named for the Institute's interdisciplinary hub for advanced thinking in the science and engineering of computation.
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.
Defending against Spectre and Meltdown attacks
New system breaks up cache memory more efficiently to better protect computer systems against timing attacks.
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.
MIT reshapes itself to shape the future
Gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs and their ethical application.
Center for Theoretical Physics professors earn DOE Quantum Information Science Awards
Professors Daniel Harlow, Aram Harrow, Hong Liu, and Jesse Thaler among the first recipients of new honor for advances in quantum understanding.
Taming “information hazards” in synthetic biology research
Cryptography techniques to screen synthetic DNA could help prevent the creation of dangerous pathogens, argues Professor Kevin Esvelt.
Detecting fake news at its source
Machine learning system aims to determine if an information outlet is accurate or biased.