Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
The 21-digit solution to the decades-old problem suggests many more solutions exist.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
History unfolds as an interdisciplinary research team uses computational tools to examine the contents of “locked” letters.
Expert in social data processing proposes adjusting newsfeed algorithms to better mimic real-life interactions.
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
The advance could boost recommendation algorithms and internet search.
Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material.
Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total.
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
A new system devises hardware architectures to hasten robots’ response time.