Study shows online school reviews reflect school demographics more than effectiveness
Language analysis reveals possible reinforcement of race- and income-based achievement gap.
Fostering ethical thinking in computing
New case studies series examines social, ethical, and policy challenges of present-day computing activities.
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.
Toward a disease-sniffing device that rivals a dog’s nose
Trained dogs can detect cancer and other diseases by smell. A miniaturized detector can analyze trace molecules to mimic the process.
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.
Examining the world through signals and systems
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.
Machine-learning model helps determine protein structures
New technique reveals many possible conformations that a protein may take.
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.
Professor Antonio Torralba elected 2021 AAAI Fellow
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
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.