AI Lab logo
menu MENU
Home > News > All News > Artificial Intelligence

Artificial Intelligence

News Feed

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

AI-powered Whatsapp Bot fights fake news in India

CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.

Jenna Wiens Named New Precision Health Co-Director

Wiens is transitioning to Co-Director from a successful role as a Co-Lead for Precision Health’s Data Analytics & IT Workgroup, which expanded access to data and research tools across the university.

Glen Chou receives the NDSEG Fellowship to improve the safety of autonomous systems

PhD student Glen Chou is focused on ensuring that autonomous systems, including cars and robots, never threaten human safety.

Prof. Jason Corso on artificial intelligence

The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.

UM::Autonomy competes with brand new boat design

The UM::Autonomy team brought their latest autonomous boat, called Flying Sloth, to participate in the Association for Unmanned Vehicle Systems International Foundation Roboboat competition.

COVE: a tool for advancing progress in computer vision

Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

Patented camera calibration tool automates calibration target acquisition

This innovative software guides users through the process of collecting a set of images of a calibration target.

Rada Mihalcea co-authors new book on text mining

Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Prof. Wiens will continue to use machine learning techniques to study the disease.

Lie-detecting software uses real court case data

U-M researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.

Jason Corso receives Google Faculty Research Award

Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.

2015 EECS Outstanding Achievement Awards

Winners are chosen for their outstanding accomplishments in teaching, research, and service.

John Laird Authors Book on Soar Cognitive Architecture

Professor John E. Laird, the John L. Tishman Professor of Engineering in the EECS Department, has authored a new book entitled "The Soar Cognitive Architecture," which has been published by MIT Press.

Nate Derbinsky Wins Best Poster Award at ICCM

Ph.D. candidate Nate Derbinsky has won the Best Poster Award at the 11th International Conference on Cognitive Modeling (ICCM), which took place April 13 - 15 in Berlin, Germany.