MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Putting neural networks under the microscope
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
MIT robot combines vision and touch to learn the game of Jenga
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Engineers program marine robots to take calculated risks
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
Learning to teach to speed up learning
An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.
Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
3Q: Judah Cohen on improving seasonal weather forecasting
Machine learning could help improve the accuracy of long-term forecasts, MIT climatologist argues.
AI, the law, and our future
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
Democratizing artificial intelligence in health care
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
MIT adds computational Earth, atmospheric, and planetary sciences to its PhD offerings
New EAPS thesis field is the most recent to join the computational science and engineering doctoral program within the Center for Computational Engineering.
Sound and technology unlock innovation at MIT
Cross-disciplinary projects at MIT probe the technological and aesthetic limits of sound.
Building site identified for MIT Stephen A. Schwarzman College of Computing
Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.
3Q: Aleksander Madry on building trustworthy artificial intelligence
A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.
Deep-learning technique reveals “invisible” objects in the dark
Method could illuminate features of biological tissues in low-exposure images.