Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Artificial intelligence that more closely mimics the mind
Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.
Using artificial intelligence to generate 3D holograms in real-time
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Algorithm helps artificial intelligence systems dodge “adversarial” inputs
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Retrofitting MIT’s deep learning “boot camp” for the virtual world
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
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.