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.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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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.
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.
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.
Ideas abound at Quest for Intelligence workshop
Community event generates ideas for sparking innovative and ambitious plans to advance research in human and machine intelligence.
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.