News by Faculty

The project, which received a best paper award, demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.

The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.

Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.

PhD student Jean Young Song offers an improved solution to the problem of image segmentation.

CS KickStart is a free week long summer program for incoming first-year students that aims to improve the enrollment and persistence of women in U-M’s computer science program.

With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).

Kurator is a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content, including videos and photos.

Researchers have developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system.

Lee investigates how we can coordinate collaboration among users and crowd workers, especially for complex tasks that require creativity.

The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.

The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.

We’re building a bigger, better CSE.