A more effective way to train machines for uncertain, real-world situations
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.
Senior Ananya Gurumurthy adds her musical talents to her math and computer science studies to advocate using data for social change.
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.
Citadel founder and CEO Ken Griffin visits MIT, discusses how technology will continue to transform trading and investing.
Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.