3Q: Machine learning and climate modeling
As machine learning expands into climate modeling, EAPS Associate Professor Paul O’Gorman answers what that looks like and why it's important now.
Using artificial intelligence to engineer materials’ properties
New system of “strain engineering” can change a material’s optical, electrical, and thermal properties.
President Reif calls for federal funding, focused education to address “opportunity and threat” of AI
In Financial Times op-ed, MIT president says higher education must teach students to be “AI bilingual.”
Jumping into new experiences
For senior Héctor Javier Vázquez Martínez, studying and teaching abroad has brought new friendships, new research interests, and a new outlook.
New collaboration sparks global connections to art through artificial intelligence
MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.
Putting neural networks under the microscope
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Understanding ethnic cleansing by mining a trove of text
With his innovative method for analyzing language, political science student Andrew Halterman maps civilian deaths in Syria.
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.
Optimizing solar farms with smart drones
MIT spinoff Raptor Maps uses machine-learning software to improve the maintenance of solar panels.
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.
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
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.