Exploring the nature of intelligence
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Alumnus and founding dean of Cornell Tech in New York City will return to MIT this summer.
System uses RFID tags to home in on targets; could benefit robotic manufacturing, collaborative drones, and other applications.
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Design reduces by 99 percent the data users need to join the network and verify transactions.
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.
Method could illuminate features of biological tissues in low-exposure images.
Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.