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Walter Lasecki

Research on human biases in AI learning earns best student paper award

The project demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.

DARPA Award for more responsive AI that combines human and machine

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

‘Air traffic control’ for driverless cars could speed up deployment

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

Paper award for training computer vision systems more accurately

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

CS kickStart wants first-year women to succeed in computer science

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.

Codeon is the intelligent assistant for software developers

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

Kurator Will Help You Curate Your Personal Digital Content

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

CHORUS: The Crowd-Powered Conversational Assistant

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.

Sang Won Lee receives Rackham Predoctoral Fellowship for research into facilitating collaboration for creative and artistic tasks

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

Walter Lasecki and collaborators win Best Paper at W4A

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.

U-M, IBM partner on advanced conversational computing system

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

Eleven New Faculty Join CSE

We're building a bigger, better CSE.