3 Questions: Devavrat Shah on curbing online misinformation
Expert in social data processing proposes adjusting newsfeed algorithms to better mimic real-life interactions.
Driving on the cutting edge of autonomous vehicle tech
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Researchers develop speedier network analysis for a range of computer hardware
The advance could boost recommendation algorithms and internet search.
Less-wasteful laser-cutting
Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material.
A machine-learning approach to finding treatment options for Covid-19
Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.
A language learning system that pays attention — more efficiently than ever before
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
“I know what you bought at Chipotle”
A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total.
Robust artificial intelligence tools to predict future cancer
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
“Liquid” machine-learning system adapts to changing conditions
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
Designing customized “brains” for robots
A new system devises hardware architectures to hasten robots’ response time.
An intro to the fast-paced world of artificial intelligence
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
Building machines that better understand human goals
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.