Ensuring AI works with the right dose of curiosity
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
Mary Ellen Zurko pioneered user-centered security in the 1990s. Now she’s using those insights to help the nation thwart influence operations.
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.
Thousands of children participate in MIT-developed artificial intelligence curriculum.
A new training approach yields artificial intelligence that adapts to diverse play-styles in a cooperative game, in what could be a win for human-AI teaming.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
The NCSOFT-sponsored program will advance cutting-edge technologies for gaming and data visualization.
MIT researchers design a robot that has a trick or two up its sleeve.
For individuals who communicate using a single switch, a new interface learns how they make selections, and then self-adjusts accordingly.
Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.